{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting Cross-Validated Predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adapted from http://scikit-learn.org/stable/auto_examples/plot_cv_predict.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This example shows how to use cross_val_predict to visualize prediction errors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "using ScikitLearn\n",
    "using ScikitLearn.CrossValidation: cross_val_predict\n",
    "\n",
    "@sk_import datasets: load_boston\n",
    "@sk_import linear_model: LinearRegression\n",
    "using PyPlot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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wj4yCjQEzERERBczvv/+O9evXezzu2muvxbp16/D555+jS5cuIRiZf0wmE4zGAlRXzwdwO4BOAG5HdfU8GI0FLM+IcgyYiYiIKCDWr1+PK664AkOGDPEqgPzLX/4Cg8EQgpH5r3aiYj+nPRkAgLKyspCOh0KLATMRERH55eTJk3jooYcwYMAAfP/99zh9+jRGjRqF6urqcA8tYC699FLLd5ud9mwCACQlJYV0PBRaDJiJiIioztatW4crrrgCr7zyisP2zz//HAsXLgzTqAIvJSUFOTm5MBjGwVzDfADAMhgM45GTk4vk5OQwj5CCiQEzERER+ey3337DAw88gKysLPzwww+Kx0yZMiWqShWWL1+GrKzeAEYAuADACGRl9cby5cvCPDIKNm1PRyUiIiJN2rlzJxYtWqR6TK9evaDXR09uLj4+HmvXrkZpaSnKysqQlJTEzHI9ET2/xURERBQy/fr1w5gxYxT3NW3aFPPnz8fGjRujcsW+5ORkDB48mMFyPcKAmYiIiOpk5syZuOiiixy2ZWRkYPfu3Xj44YejKrtM9Rt/k4mIiKhOYmNj8frrrwMAmjVrhoULF2L9+vV2HSWIogNrmImIiEjRwYMH0bFjR9VjMjMzsWDBAuTm5kZl+QURwAwzEREROTl+/DjuuusuXHbZZfjuu+88Hj927FgGyxTVGDATERGRzUcffYSuXbvizTffxKlTpzB69GjU1NSEe1hEYcWAmYiIiFBZWYmRI0fiuuuuw+HDh23bN2zYgMWLF4dxZEThx4CZiIionvvwww/RtWtXvP3224r7H3vsMXz//fehHRSRhjBgJiIiqsd2796N66+/Hj///LPbY3Q6Hfbu3RvCUWmbyWTCmjVrUFpaGu6hUIgwYCYiIqrHunXrhnvuucft/kGDBmHPnj3Izc0N4ai0qbKyEoMGDUHnzp2Rm5uLlJQUDBo0BMePHw/30CjIGDATERHVc7Nnz3ZpHxcXF4clS5agoKAAnTp1CtPItGX48BEoKtoKYBmAHwEsQ1HRVuTl3RHmkVGwMWAmIiKq5+Li4hwm9uXm5uLrr7/GqFGjoNPpwjgy7TCZTDAaC1BdPR/A7QA6Abgd1dXzYDQWsDwjynHhEiIioihXXV0Ng8GgeszgwYMxYcIEpKamYuTIkQyUnZSXl1u+6+e0JwMAUFZWhuTk5JCOiUKHGWYiIqIoJSJYuXIlOnfujIMHD3o8fs6cObjzzjsZLCuoXe57s9OeTQCApKSkkI6HQosBMxERURQ6cuQIbr75Ztx6660oLy/HfffdBxEJ97AiVkpKCnJycmEwjIO5hvkAgGUwGMYjJyeX2eUox4CZiIgoiogI3nnnHXTt2hXvvfeebfuaNWvw5ptvhnFkkW/58mXIyuoNYASACwCMQFZWbyxfvizMI6NgY8BMREQUJX7++WcMGzYMeXl5qKiocNk/YcIEHDp0KAwjiw7M0NdfDJiJiIiiwM8//4yuXbviv//9r9tjfv31VyxbxmxoXbGtXP3FgJmIiCgK/OlPf1JdXCQxMRHvvPMOHn/88RCOKnqwrVz9xoCZiIgoSsybNw9t27Z12T5s2DDs3bsXt956Kztg1JE3beUoejFgJiIiihIJCQlYtGiR7edWrVph5cqVePfdd9GmTZswjizysa1c/RbVAfOMGTOg1+vRrVs3l3379u3DoEGD0Lx5cyQmJmLkyJE4duxYGEZJREQUONdffz2GDx+OW265BXv37sXNN98c7iFFBbaVq9+iNmA+dOgQnnvuOcTGxiruS09Px7fffouZM2fisccew+rVqzFw4ECcP38+DKMlIiJSd/DgQQwfPhw///yzx2OXLl2KFStWoHXr1iEYWWQymUxYs2aNT7XHbCtXf0Xt0tiPPPIIrrnmGpw/f96ltc6MGTNQVVWFnTt3okOHDgCAtLQ0ZGdn44033sA999wTjiETERG5EBEsXboUEydOxG+//YaqqiqsWrVKtRa5UaNGIRxhZKmsrMTw4SNgNBbYtuXk5GL58mWIj49XvW98fDzWrl2N0tJSlJWVISkpiZnleiIqM8ybN2/GqlWrMHfuXMX9q1atwtChQ23BMgAMGDAAKSkpWLlyZaiGSUREpOrAgQMYPHgwRo8ejd9++w0A8P7772PFihVhHlnw1CXz64tAtIZjP+b6J+oC5pqaGowbNw733nsvunbt6rL/p59+wtGjR9GrVy+XfVdddRV27NgRimESUR0F+48pkRaICF577TV07doVRqPRZf/YsWNx5MiRMIwseCorKzFo0BB07twZubm5SElJwaBBQ3D8+PGAXcPf1nChGCNpU9QFzK+88gp+/PFHTJ8+XXH/4cOHAQDt2rVz2deuXTtUVlbi3LlzQR0jEfmOf6iovvjjjz+Qk5ODe++9FydPnlQ8pqKiAk899VSIRxZcoVgUxN/WcFy4pP6KqoC5srISzzzzDJ5++mkkJCQoHlNVVQUAaNy4scu+mJgYh2OISDv4h4rqi6ZNmyIuLk71mBEjRmDmzJkhGlHwhWpREH9aw3HhkvotqgLmJ598EomJiRg7dqzbY5o0aQIAOHPmjMu+06dPOxxDRNrAP1RU37z00ktITEx02d6uXTt8+OGHeOutt9wmhiJRqBYF8ac1HBcuqd+ipktGWVkZ8vPzMW/ePBw6dAiAuQbs9OnTOHfuHH744Qe0aNHCVophLc2wd/jwYSQkJKBhw4aq15o4caLLu/+8vDzk5eUF6NEQkT1v/lBxpjpFkzZt2uCll17CbbfdZtt25513Ys6cOR47OUQix8zv7XZ7Ar8oyPLly5CXdweMxhG2bVlZuR5bwzmOsRWA/wG4BsCRgI+RvLd8+XIsX77cYduvv/4a+AtJlNi4caPo9XrR6/Wi0+lcbnq9XiZOnCgiIm3atJFbb73V5RydO3eWrKwst9fYtm2bAJBt27YF7XEQkav9+/cLAAGWCSB2t7cFgJhMpnAPkSjgampq5G9/+5u0b99ePv7443APJ+hycnLFYEiw/Lv+UYC3xWBIkJyc3KBcz2QySUFBgZhMJtm/f7/tezV9+2YI0MDy/5H11kDS0/sHZYxUN8GI16Imw3z55Zfjv//9r8v2J598Er///jvmz5+PSy65BAAwbNgwvPXWWzh06JCttdy6detgMpnwyCOPhHTcROSZ9WPUoqJxqK4WmDPLm2AwjEdWFlfYoshSU1OD/Px8DBs2DK1atXJ7nE6nw6JFi9CgQQO0bNkyhCMMj7pmfusqOTkZiYmJPvVk/vrrPQCaAXgJ5k+8NgMYY9lOUS1gobdG9e/fX6644gqHbQcOHJDWrVtLUlKSLFiwQJ599llJSEiQ1NRUOXv2rNtzMcNMFD6VlZWSk5PrkNnJycmVysrKcA+NyGtlZWWSkZEhACQvLy/cw9Ek+8xvsNVmtZdZstrL3Ga1165dq/pJV2FhYdDHS94JRrwWVZP+3HFeDaljx47YtGkTkpKSMGXKFMyePRtDhw5FYWGhx/plIgoP6wpbJpMJBQUFMJlMWLt2dVTWc1L0qampwYIFC9CtWzds2mSuy12+fLniJ6P1XXJyMgYPHhz0T458nUy8evVqy3fKcyk+/vjjoI6XwitqSjLc2bBhg+L2Ll26YM2aNSEeDRH5Kzk5mSUYFFHKyspw991349NPP3XZ9+CDD6Jfv36KHTEouHydTNymTRvLd8oTE2v3UzSqFxlmIiKiUKupqcHcuXPRrVs3xWAZAI4cOYLx48eHeGR1E22rbPrak/mWW24BYAAwBvYt6YCxAAyW/RStGDATEREFgU6nw7p161QXw7rwwgtx1113hW5QdRCtq2z62pM5JSUF6enpAE4BGAHgAsvXU0hPT+cnX1GOATMREVEQWLtcuOtw8eCDD+Krr75CVlZWiEfmm2heZXP58mXIyuoN+wA4K6u3284cH3ywCjk5Ax225eQMxAcfrAr6WCm8or6GmYiIKFzat2+PuXPnOmSRL7roIrz++uvIzMwM38C8ZJ0YZw6WrXW7t6O6WmA0jkBpaWmdM6smkwnl5eVISkoKW3bWOpm4tLQUZWVlHsciIiEcHWkJM8xERERBNHLkSAwZMgQAMGbMGHz11VcRESwDnifGbdy40ee6Zi2WeHjbmSOas+2kjgEzERFRHe3bt89joGctzdiwYQMWLlyI2NjYEI3Of54mxt13330+B72RGnT62oaOogsDZiIiIh+dP38ezz//PFJTUzFp0iSPx3fo0AH9+/cP/sACzN3EOJ3uYQCN4WvQG8lBpzdt6Ch6MWAmIiLywZ49e9CnTx9MnjwZZ86cwRtvvBHVff2VJsaJ/AbA96A3koNOX9vQUXRhwExEROSF8+fP47nnnkOPHj1QUlLisO/ee+/Fr7/+GqaRBZfzKpv5+fkAagAMdjrSc9AbyUGnr23oKLowYCYiIvLgq6++Qu/evfHEE0/g7NmzLvsPHTqERx55JAwjCx3rxLh+/azZYe+CXvsFTyI96PS1DR1FD7aVIyIi8uCJJ57Atm3b3O7X6XSIi4tDTU0N9ProzkVZg96ionGorhaYM8ubYDCMR1ZWbdBbWVmJ4cNHWNrSmeXk5OKVVxbiwQfHwmgcYduelZUbEUGnr23oKHowYCYiIvLgpZdewqZNm3Dy5EmXfSkpKVi6dCn69OkThpGFx/Lly5CXd4dq0OvYDaMfgM0oKhqHBx8cG/FBZ3JycsSNmfzDgJmIiIJGC4tTBMIFF1yA2bNn4/7777dt0+v1uPvuuzF//nw0adIkjKMLPU+ZVm8XPInk3wmqX6L7cyMiIgoLLS5O4a97770XGRkZtp9ramrw2muv4cYbb9L047KvIQ40dwt+RHI3DCIlDJiJiCjgIm1xirNnz+LUqVOqx+h0OojoodPFAFgCrT+ucL5pieRuGERKGDATEVFARdriFDt27EBaWhoeffRR1eNMJhM2b94AkdcAjILWH1c437REejcMImcMmImIKKAi5eP4s2fP4umnn0ZaWhp2796NV199FevWrXN7fKQ8LkAbb1rYgo2iCQNmIiIKqLp+HB/MWltn27ZtQ69evTB9+nRUV1fbto8ePVqxEwYQWWUGgQju/X09nBc8MZlMWLt2NeLj4+t0PqJwYsBMREQB5evH8cXFxejZ86qQ1NqeOXMGTz75JK6++mp89dVXLvt/+OEHTJ48OSCPK5y8Ce7dBcSBrn12NzGQKKIIeW3btm0CQLZt2xbuoRARaVplZaXk5OQKANstJydXKisrbcdUVFRYjtELECfAMgF+FGCZGAwJkpOTG/Bx3XPPPQ5jUrp169ZN/vjjjzo/Lq3IyckVgyFBgLctz+vbYjAkSGZmtupjqL1f8F+PcNi/f78UFBSIyWQK91AoSIIRrzFg9gEDZiIi35hMJrfBSU5Oruj1cZagbZkAYnd7WwAEPKgpLS2VJk2aKAbKDRo0kKefflrOnDnj1+NSEo4gzV1wn5mZ7TYg3r9/f0hfj1CqfYPm/5sdBt3axoA5zBgwExEFRm1gNtry9UenAO1HASAFBQUBv/bcuXNdguXu3bvL9u3bA36tQAZpdWUf3HsKiPPz80P+eoRKIDLnWng9ybNgxGusYSYiopDbuXMnzNNoXrdsCcxEOpPJhPz8fLz22muKk9UqKytRUGB02HbppckwGo248sorfbqWN7TQj9q+htjTZEARsfys/YmNvghU15Cbb74NhYVbYP96FhZuwU033Rq0sZM2MGAmIqKQW7DgZQDNYQ48MgE8DPuJdHq9bxPpKisrMWDAQHTu3Bn33Xcf7r33XqSkXIYBAwY6TFYbPnwE1q37H4DZAHoCmIHvv6/AnXfeHdgHCG20dnPmaTJg//79I2Zioy8C1TVk/fpPILIQ9q+nyAKsX/+J5vpwU2AxYCYiopAymUz47LNNAF6COfB4F8A1sO/XGx/f0Kd+vcOHj8D69cUAcgHcA3OwF4f16zfbsrmOAewjAEoAPOF1AOtrmzUt9m32ptOHN/2TQ9kCMBAC0RJw06ZNlu+UX8+nzx3yAAAgAElEQVTa/RSNGDATEYVBpAUcgeQaSMYDWA1r8ALcgYqKIzh27JhX57MGwkATAAUwl3lcCGA+gDO2YNj1ujrLV3PAs3HjxoC2WdNq32ZPAbFa/+RwLrftj8C2BFR+PSnKBawauh7gpD8i8hcnDYnHiWfAJq8nmJ06dUpuuOEGha4XyQLst/1cUFCgct1XLK3tAt9mzV1rNy20aPO104dIZLec87cloPn3Ry9AvMPraf5Zz44ZGsIuGWHGgJmI/BXJAUcgKQWSQIIAuV63MNu8ebMkJSUpBMvW22Db99ZzKV+3seh0LRVfE3/brEVS32ZPoqXlXF3eKFhlZmYL0Njp96yxZGZmB2GkVFcMmMOMATMR+SNaAo5AUAokgUwBXvXqDcSCBQtEp9OpBMvWWyOHcylfN/ht1vwJ0rSioKAgIM9FJCsvL5fExLYOvzuJiW3l22+/DffQyA7byhERRTAtTgIDwlNPba2TLSkpQY8evSxb1wN4wGWCmZIBAwagUaNGHq6iQ2ZmhsO5nOtz8/PzLXuC22YtGpaH1mpNdig99NDDOHHiHOzbyp04cQ4PPjg2zCOjYGPATEQUIsEIOPwJdoMxgcvX8fTq1QvbtpUoTjBT06VLFzz88MMKexoBSAMALFnyOh59dKLi5EFrANuvnzVQrl9t1uoisBPnIo8W2wRSCAUsV10PsCSDiPwVqElggZg8GMh66nBMZvzoo4+cyip6C/CNALtFbRKfM0+vSTTVIfurPj8XLEmJHKxhDjMGzETkr0AFHP4Gu4Gupw7GZMb9+/er1v2uXbvW8hhiBJgtwHnLY0gVIM7rsXj7mkRDHXKg1MfngnMQIgcD5jBjwExEgeIp4FALFgPxhzuQ2bJABxIVFRXSq9dVbgNYpWy2OUjeLcALdR5LfQwCyTdabhNItTjpj4goSribBOZNXXEgJg8Gqp7aZDLhnXfe8Xs8Vr/99hu6d0/Fl18Ww7ywyEcAlqGoaKttxb7hw0egqGgr7CdeAd8BSAXweJ3HEg0T86JduBf88WYVRIpODJiJiDREKRi0DxaBwAS7/k7gsg/sn3nmGb/HAwCffPIJunTpgoMHD1i2CIC/A7jJNrGqsLBQceIVsBBAjd3ZIreTQ7iDQi3SygqDaqsgUpQLWK66HmBJBhEFky+lDWofDXuq/bXypZ7a+ZyuNcvWumHfP6r+9ddf5d5773UqsbC/PWErFZk6dapqKQnwmNQuRBJZH5tzFUj3uOAP+YI1zGHGgJmIgsnbuuL9+/fLihUrpG/fDIfgKjMz27ISmW8Bl1rtrlIQV3td+8C+0hI0+3btTz/9VDp16qQSLEMAgwDPCgAxGo2qbyoAkwCvii9dMrSCQaEyTrYjX7GGmYgoinkqtWjVqpXtY+lbb70Vn322CenpGVixYgVMJhMaNmyITZu2Qa2cQ4la7a5SiciWLbthruizrxOOB/AhAGDq1Klef1RdWVmJw4cPqxzRBMDt0OtnIScnFwMHDlQsJQHGA8gFkGz5WoP8/HzVj80DVfoQiPOwx697Wl3wh+qZgIXe9QAzzEQUbGqlFmoZyGBk4Tyd09zKrW7XUu504f5mnyFWXt4615Ll9jyOQJU+BLKEgj1+3WOGmXzFDDMRURSyz1C6m4V/zz2jVDOQmzdbs9KBy8J5yuzp9f+AObu7CcBj0OvHom/ffigrK/OYEXXMXJcDuNC2r1mzZnj55Zexb98+xQyx/cSrHj16Qa+PA5AH4Hd4M3HRm4mV3gjUeQAuO62mvq8wSBoRsNC7HmCGmYgCSS1Daa0rLi4udjpGOQO5ePHikGeYr766j0utsP3PahMIXc+7Q8y1ypD169d7PUZfF4IJVLYyGFlP9vh1rz6vMEi+Y4aZiCiKqGUorXXFTz31D8sxsyz3Us5A9u/fP+BZOE+ZvZYtW8JgaOkwfiAOQKbtsQwbdgvef/99h/MqZ65TAZiPO336tNdj9LXNV6DqYYNRVxuIHr/R2pKO7dwo7AIWetcDzDATUaB4k6F0PSZXAPcZyGBk4dyds7i4WHX85m4VEwWANGjQQHbs2OHTYw8WT9cuLCx0ez/7TiLBfAx1WXGQLemIajHDTEQUJbzJULoeswyA+wykiAR8nO4ye8eOHbMcUQ3APpuZYfk6AsAcAMD58+dx11134dy5cwDcZ66BsUhMbItWrVoF/HFYqV0b0GPgwIEOC2K4WzCjdevWQaurrcuKg4GspyYiBQELvesBZpiJKFDqlmG23mYpZkN96eOrtLiJtwueVFRUSO/e1zrVLlu7VNzvtL32NnXqVNs5KisrJTGxrdMxqaLXtwx6za5yl41UAXa7PGdqz6lW6mrZRYLIERcuCTMGzEQk4n1g6Yk3k7y8nQjmbdCk9NH9X/6S5dOCJzk5uZaV9GqDSKCl5ea+NVyDBg1k586dTuOdLUCBpYQjtEFe7SIoyu3xPC2SYh1jXUooAokt6YgcsSSDiMgHgZ4A5e7jeevH977yZpKXtxPBvJ2EpvTR/YYNn2LDhhIofZzv/BxaF9gQWQj79nbAJAAnVB9vnz59kJiY6DTeWwAMhnnBEdfxBlN1dbXdGOyZx7B161bLz+rPaV1KKAKJLemIQiBgoXc9wAwzUWQI1gSoYC1d7E2G0tMxdS/x8LQ4if2S2P1k8uTJqtlM5VsLASCrV6/2abzB5mkM3maYtYAt6YhqsSQjzBgwE0WGYAS2WgjwPPEUNCl/dK/+cT7wmJhre1OdgmDPAbb5NkSAeYrPkRaCPE9j0MIYvaGVemoiLWDAHGYMmIm0L1iBbSTUiXoKmuqWYTZJbTs76xuQVAHiHIJIIF6AxhIXl2C5X1MB5gjwltsAM9hBnje15p7GEGmBaLjrqYm0IBjxWgP/CjqIiLTFUy3vxo0bUVZWhqSkJJ9qTvV665SPlQAesdujnTpRawu40tJSbNy4ETqdDhkZGbbFHawt1YqKxqG6WmB+TooBNIZON9bSli4D5sc0FuYFSARAAYC3AfSCuWZ5veW4EXZX1yMzcwBee20Rrr/+Rnz11S4AEwEAWVm5iotv2I+3Lq+JO5WVlRg+fASMxgLbtpwc8xicF7rwNIZgjTFYkpOTNT0+oogVsNC7HmCGmUj7PGWY4WOmUKkeurYFmXY+nrdmU12X0vacMc3MzHbpkmFe4nqR1JZsDBagkQB7HDLr48aNk/z8fJeMZjgzncGqNSeiyMCSjDBjwEwUGZTqTs1t0BpbgqiNAjwmen2cxyBKKfgylyPow/7x/P79+2XFihXSt2+GQ6BrfqyzBHhTgNmKwaLJZJLFixc7BLv2QW5OTq7o9fEC5DkF0lcJcM7vEpdgiYRacyIKLgbMYcaAOXIEqk8uRSblhSn0AvzTUo/ruL2kpETxPHVdRjnY3Ge9P7L73nmfei9m58D/m2++kTZtnBcWsd5u9SljG8p/j5FQa05EwcU+zCr27t2LW265BZdeeimaNWuG1q1bIyMjAx9//LHLsfv27cOgQYPQvHlzJCYmYuTIkXbLvFIkC3SfXIpMzss55+fnA6gBsBqAYw9ioDnuv/8hxfN4qoc+f/58EEbvmVIvZfPXaQD0TtusX/XYtGmT2/tb+y6LCP71r3+hT58+OHr0iJsRrEDv3pdj+vR/qPa5Dse/R/YkJqKgCFjoHWYFBQUyePBgmTZtmrz22msyf/58ycjIEJ1OJ/n5+bbjDh48KK1atZLk5GRZuHChPPfcc5KQkCBXXnmlnDt3TvUazDBrH2sXSUltpti3j+q1+PG+dzXa7vf17dtP9ZiCggLR6XRuMsvmW1xcnPTsmaaaoRYJzb9Hpex1pLSCI6LgYEmGj2pqaiQ1NVW6dOli2/bggw9Ks2bN5ODBg7ZtRUVFLoG1EgbM2qbF4Ia0o0ePXnX6qF5rwZenkgP1fY+JXh/r8XmYNGmS22D5pptukv79B3gMhIP971GtrCSQreBY3kUUeViS4SOdTodOnTrhxIna5VpXrVqFoUOHokOHDrZtAwYMQEpKClauXBmOYVKAeLs0MNVPr776suU75Y/qDQaDYnmBt0tTh4qnkgP1ffeipuZp1WOSkpIwceJENG3a1GFvo0aNsGTJEsyYMQMbN65DdfV82C+NXV09D0Zjge35c//vsZP5aps2wR9qZSXOJTkmkwlr1652aSmnhuVdROQgYKG3Rpw6dUqOHTsm5eXl8uKLL0qDBg1kxIgRIiJy6NAh0el0MmvWLJf7jRgxQlq1aqV6bmaYtY0Z5vrNm0ygu2xxYmJbj9lIawcJo9EY9oyj0uOo7dxh7ZJhvy9BzJMdrZlkvaUDhvWYF0Svj5W+fTNERKRv3wzR6ZoLYC3N6C16fUvJycn1elKd67/HCnGecNmjR5rbCZdqQvFvneVdRJGLJRleeOCBB0Sn04lOpxODwSC33HKLnDhxQkREvvzyS9HpdLJs2TKX+z3++OOi1+vl7Nmzbs/NgFn7tPbxOQWfu4/mi4uLXQJbpY/qExPbil7f0mNg5E1niVBRehzp6RmyYsUKKSkpUeigkStApUNQmZ5ubUWndzi2ZctEu2B0mgDvOtzPaDR6Haw6/nvMFPNqgK7t+Xx9HoPdCYNvvokiW9hX+tu82fkjPO/06+f8kVzwTJw4ETfffDN++uknrFy5EtXV1Thz5gwAoKqqCgDQuHFjl/vFxMTYjmnYsGHIxkuBtXz5MuTl3QGjsXYFMnerjFF0cPxovh+AzSgsHAujsTfMnTEcV3mzX7XNYDAgJyfHct/bLWe8HdXVAqNxBEpLS22rpildp6hoHPLy7sDatatD+pg9rT5n3XfbbcOxc2cpamryAPwO4GPodA+iYcPGeP31fIwefS8+/3w3amoW2B7TiRP3Wc7SD7XPCWAtbaqurlZYLXATDIbxyMrKdRiH679Hx+fZHKOPwCeffO7T8+hYlmI/xsB0wvCmvIur6RHVM75E1zqdTvR6ve3m/LO7WzgNHDhQrr76ahEJXIa5X79+8te//tXh9u9//ztoj4F8F85Vxih0PHeM2KT6UXrdywsiI+Oo3I/afOvZs6ebx/SCx8fq66S6/Px81ecZeNTn59H10yTHshJ/ROrrTaHDyaDa8e9//9slJuvXr1/AM8w+BcwbN250uBmNRunevbskJyfLrFmz5MMPP5QPP/xQXnjhBUlOTpbU1NSwNfa3Wrx4sej1ejGZTKxhJooynjtGFKgGOt4GRoEoAQjXH9iamhqZPn26NGnSRDFwVn5Mekv5RG1pk14fr7haoDePybs3Nr6VUjgG7Y5lJYEolWF5FynRUmkWuae5GuaJEydKWlqaVFVVuew7deqU9OrVSyZNmuTPJfw2b9480etrV/Jq06aN3HrrrS7Hde7cWbKyslTPxYCZQoXZC3XW58dTPS1g8hjYOgZGGwV41GXJbH8yjuH8A/v9999Ldna2m0DZevunm+cuw+G49PQMv8asPFHROhmx7pnb9PQMywTGwE7OC2RrOooenAwaGTQXMLdp00bmz5/vdv+8efOkTZs2/lzCa0ePHnXZdu7cOenRo4c0a9ZMTp06JSLqfZgXL16seg0GzBRszF6oU3p+aift2QdiLQToZRcwuw/IKisr5S9/yXLJUmZmZktlZaUtOO/bN8Pyh/IFAd4UYJZXfyjD9Qf26NGj0qJFCw/BMkSna+L03MWJeSntHwWYFbAyB+XykEwBXq3z8xGK0gmWd5EVS3Uih+YC5mbNmsmUKVPc7p88ebLExsb6cwmv3XjjjTJgwACZOnWqvPbaa/J///d/0qVLF9Hr9TJ37lzbcQcOHJDWrVtLUlKSLFiwQJ599llJSEiQ1NRU1fplEQbMFHzMXqhz9/w4toXTOwVlqbaWaP6dF9KwoWNZQ2JiW/n222/dnjfYf2A9fRIxZswYt4Fy+/bt5Z133lF8AxLMN2wlJSV2i8j4d41gd8sgssfft8ihuYD5+uuvl6ZNm8p7773nsu/dd9+VJk2ayA033ODPJby2YsUKGThwoLRr104aNWokiYmJMnDgQPn4449djt27d68MGjRIYmNjJSEhQUaOHKmYoXbGgJmCidkLdZ6en8LCQunRI030esfAF4iTxMS2DgGZfaDp/rzWyW9/t5wr1ZJ99f7NTLD+wHr7ScTJkyfloosucgmWR40aJcePH7cd55xFDUVWNRDX4L8ZCiX+vkUOzQXMBw8elJSUFNHr9dKhQwfJyMiQjIwM6dixo+j1eklOTpYDBw4Eaqxhx4CZgonZC3Wenp/Fixd7/GOmFGi6LpntusAG0K9OfygD/QfWGuinp2c4ZcTdl06sW7fO9jg6dOgQdb9HnJxHocTft8iguaWxO3TogF27duHFF1/E5ZdfjiNHjuDIkSPo2rUr5syZg127dqFjx47+XIKo3vC05LG/vWUjnafnR6fTWX523ztXaTnlnTutS2FbzzsCgOMxwHaP51aSkpKCnJxcGAzjLOc5AGAZDIbxyMnJ9bqXr/MyzZ9+usmyNPVgAA8AeAw1Nb/js882oV+//g7LN2dmZuKBBx7A6NGjsWfPHgwePNira0YKrS1dTtGNv2/1WMBC73qAGWYKNmYv1Kk9P56yueodNaxLRbvrQey5N7E7gei24Fhj/ablPJsFaC3OZSJK7d+qq6vr/Jw7C2YHF3/Ozcl5FEr8fdM2zZVkWJ0+fVq2bNki77//vvzyyy+BOKUmMWCmYGMrK3Wenp/MzGzR6Rw7Zuh0LSUzM1umT59uuc+/FEs6/vSnDnbnddebOK7Ob2bq+gfW9Y3AN5afG1q+dhWgxu9yD0+C2cGF3WGIKJA0GTDPmzdP4uPjbav+rVu3TkREfvnlF0lMTJTXX3/d70FqBQNmChVmL9S5e34yM7MFaOwQeAGNpUGDGKdtbQX4Vsz1yqlO+/QCLFLMJLds2crvoM7XLKpj7bZJgL5O44XTeM1vAFasWOHTuDwJZgcXdochokDSXA3z0qVLMWHCBAwaNAhLliyBiNj2tWrVCpmZmXjnnXf8uQRRvZScnIzBgwd7XeMaiUwmE9asWYPS0lLPBzux/7/Gep7CwkKsX/8JgNcBmAAUWL6+hvPnTwMYDXO98zIApwFcDaAvgO/gWK/cHIBjzTEwFunpGTh+/BcYjUZMnToVhYWFWLt2NeLj470as3MdckpKCgYNGuJQb6yktnZ7CoBuAD5TOOoRAD9YvjfXdC9Y8LJX4/KGyWSC0VhgqZu+HUAnALejunoejMaCOr2GoTg3EVHA+BNtd+3a1dY27tixY6LT6WwZZhGRmTNnSvv27f25hKYww0zkP38+fne9r3PPZb0Au+2yrRViXhzD/phcAV61+9ndKoGOi5iUl5crdtiwriLqSW25SG0W1VouoqaqqkpatoxXyCo7326W2tXzUgNalhHMDi7sDkNEgaa5DHNZWZnqjOuEhARUVFT4cwkiijJKnSqKirYiL+8Oj/e9+ebbUFi4xXLf3gCaApgNx+zwSLt7jACwA44Z5K0AVtodo9z5Yty4ccjPz4fJZMK6dYV46KGHLeN+FUAmAGD79i+RlpbmMVNsMpmwfv0nEFkI+yyqyAKsX/8JSktL3WbcY2JiMHToEI/PDfAfy+PtDeAtAO67d/gqmB1cwt0dxmg0Ytq0afjkk0+Ceh0iinD+RNtt27aVGTNmiIhyhnnChAly4YUX+hXRawkzzET+8acvce19XxUgQyFrXGmXHZ4lwEYvM8iex1J77ccs1/at3ra2R7RyFrVr126qGfcTJ05Ix44dXbLKtdtmC1Ag3iwFXlfB7OASju4wZWVlLqsaelq5kYgig+YyzLm5uVi8eDFOnDjhsm/Pnj3Iz8/Hdddd588liCiKlJeXW77zrZ8xAGzatMny3UoAu+GaNb7Ddh7gMQD9Va8FtASgBzAGzvXKiYltbfXjlZWVdtnvWTBnPi8AkAvf622Vsqh6fPON9drKGfe4uDgsXrzY4Z4PP/wwvvnmG0uf52cBVACIQV36PHsjmP1nw9Hb9uqrr0VFxWnYP+8VFaeRlnZN0K4ZCfyZW0AU1fyJtg8dOiQdO3aUDh06yAMPPCB6vV5Gjhwpt99+u8TExMjFF18cVW3mmGEm8o8/GebaLK1a1niW5evfRadrqnKsXoCWYu4u4Vzj7Fj/q9TBwZxhzvW63tb8uPUCxDtkUYEWPj0fo0aNkksuuUQ2btxo2xbqVoTB7OASqu4wa9euVX3eCwsLg3p9LWJrP4ommmwrd+TIERk9erSttZxOp5MWLVrIqFGj5MiRI4EYo2YwYCbyn68fv1vbsJkXHtGpljYAsXaBrDkwdr6WTqcUpJoEeNSyfZMt+K0NrGa7CdC9L4FQbnnXwPL1CQEOeAzAf/31V/n9998Vz89WhN6bOnWq6u/R1KlTwz3EkGNrP4ommgyY7R09elR+/vnngK4qpSUMmIn8521GVCnj1aKFtVuEuwxzhphrmfeLdUW8Hj3SHM7Ro0cvD0G3OXDu1esqp+DWWidtf+ybHgN+tcd95ZU9nc5vXYAkOIuPkBkzzI78+eSHSIuCEa81qHsxB3D33Xfj/vvvx9VXXw0AaN26tcP+4uJivPrqq1iyZIk/lyGiKBIfH4+1a1ejtLQUZWVlSEpKUqy1deym0Q/AZvz++1jodA0hMgbmODMD5jrgsQD+DOAFAAMBfGk7T7NmTVFSUoJffvkFSUlJEBF07twZ5nri2+2uaK2RzgdgwPbtpQ7XNvdmvgPAartj7wQAZGXleqy3tX/c+/fvx/r16/HSSy/ZHVEAYA6ANjAYxiMrK7A1yFQrJycHiYltUVHh+nuUmNgW2dnZ4R1giHkzt4C/i1Tv+RNt63Q6+de//uV2/zvvvCN6vd6fS2gKM8xEoeE+45Uq5rrfyxwyteaV/Bo5ZYQzBVikmP01l0c4LnNt/llvd273ddIGQ4Kkp2fUqQRi9+7d0rNnT6exOt5YOxp83377LbtkWDDDTNFGcxlmT3766Sc0adIkmJcgoghnMplQXl7ukGlWzniZAOwEkGr5atUF589/AyAWwBI4ZoRjLB0sRqC0tNQpS3Ya5q4MVo0AJEGvP4iaGudrA/YdOKwZZW9X+QMAEcGMGTMwbdo0nDt3zu1xAwYMwNq1q70+L9XNxRdfjGPHfsYnn3yCL774Atdcc029yyxbpaSkICcnF0VF41BdXZtx5ycdRLV8Dpg/+OADfPDBB7afFy9ejKKiIpfjTpw4gaKiIqSlpfk3QiKKCEqBr5rKykoMHz4CRmOBbVtOjjkQdVzMwlo2UQ5zGzhrKzn7wFgP4EG7Y2+HOWk4AsDfAdR+rGxdRMR8jqsAlAEwAPgEwGxceWUatm0rgfuSjbrR6XT45ptvVIPlzp07Y/r06X5dh3yTnZ1dbwNle8uXL0Ne3h0wGmvfRHpTalRf+fr/HUUBX1PSzz77rMTGxkpsbKzo9XqJiYmx/Wy9NW/eXP70pz/JkCFDZP/+/QFLh4cbSzKIXNW1HZWnWfmu3TQe81Aq8S/VSXzWj5Udl2KusEy2s58UmCaZmdku3TXMLeEyXcbpi2PHjkmbNm1cSjD0er08/vjj8scff/j+AhAFELutqGP7vciguS4ZnmqYow0DZiJXdWlH5U3NpFJXidpAVykwfkzxXHp9nMNYHK+dK86r9un18dK7dx+Fa9t3yah7beeqVascztulSxfZunVrnZ57Igottt+LDJpb6a+mpgbDhw/35xREFMFMJhOMxgJUV8+HuXzBu5XvvJmVHx8fj3//+22kp2c4HaO0Wh4ALIbzin2AHtnZ1zp8rGyt19Trx8DcmcJx7DU187F16xacOnUKc+fOtbvGagDWmuXacfrqxhtvxG233Qa9Xo/Jkydj+/bttk5DRKRddf3/jqKDXwHz9u3b8fLLL7vd//LLL2Pnzp1u9xNRZHC3XG5dl7p2rFG2Zw5+k5KSAJhby23Z8hVqly9OhetS1uMBZAO4FvZLK/fokYKSkv9h7drV+OWXXxzGv3z5MjRrprNcsyOANQCsj8089i1btuHdd1dZth1QHafV9u3b8fPPPys+ZqD2eZwwYQK++OILPPfcc4iJiXF7fDBxCWQi39T1/zuKEv6kpwcNGiQ33nij2/3Dhg2TIUOG+HMJTWFJBtU3nur1/GlH5WnFP+VzV4p16WoolkqYl8YuLCyU/fv3y4oVKyQ9PcPh+PT0DCkuLrb8rFc416uW72fZjve0MuHp06flySefFIPBIDfeeKPU1NT49DyGkpbGQhRJ2H4vcmiuhrl169by4osvut0/d+5cadu2rT+X0BQGzFTfeFOv5+tS11aeVvxznJznWrOs1zcQ81LYjtfNzMy2O69ezP2Va8cPxFlWDNQL0NJpX7yYl69Os13n9ddfdxlnjx69pKSkRERESkpKpGvXrg7733nnHZ+fx1DR0liIIk1d/7+j0NJcwBwTEyPz5893u3/+/PkSExPjzyU0hQEz1SfeZlO8XeraHXez8j1dH4D06pXmct3aDhezPN7f/b4rbZnmvn0zRESkuLjYZZntiy++VAwGg1OWGpKYmChHjhzx6XkMBS2NhSgS+fv/HYWG5hYuSU5ORmFhIR5++GHF/WvXrsUll1zizyWIKEy8XS7X26Wu3UlOTlY8PiUlBX/+8xXYu9d5+eLxADIBrMe0aVORlJRku67Ylr1eBiDBciZrjXISgGTULkBifWwmmHs8J9ntK7VcJxWffbYJpaWlmDz5SezYYV0uuwWAB/Hdd+VQUlFRgTFjxuA///mPppYd1tJYiCKRv//fUeTya9Lf6NGjsXr1akyaNAknTpywbT9x4gQmTpyItWvXYvTo0X4PkohCz9uJeVbJyckYPHhwQP54VFZWYtCgIdi79ysAJ2E/mQ+4AsAttjHYX7d2knE/AIkw/xfXH0AugBQAQ2DujGF1HYDOdvuvs2x/BsAZANcDACEIsTcAACAASURBVKZPn4716z+ByEKYZ8e/DeCQ2/E3aNAAXbt2RU1Njc/PY115M4kvVGMhinaB/P+OIoQ/6emamhq56667RKfTicFgkE6dOkmnTp3EYDCITqeTkSNHukx+iWQsyaD6Jlz1eo51tukCNHQqe2gsmZnZLvfr27efXclBrkL9srVGOVUAg2J9M9BWans7O08KzBTzBMOfBUh0KcUAIN27d5cdO3aE7Hn0dRIfazCJKNpprobZav369TJmzBgZPHiwDB48WMaOHSsbNmwIxKk1hQEz1TfhqNdzrbPNFtfJeS1dAuba+3UUIMZDjXIzD/tnifKEwXhLIC4CLHcKls21zHv27AnI87h//36vVlzzZRKfu84hrMEkomii2YC5vmDATPVVKJfLdeyO4d0ktYqKCunevYdTAKsXYLflHAUCmGyZ4wsuuNDuGkqrBjb1EFBvEuAtqc18/1kAowCQgoICv55HXzLG3k7iUzpn374ZsmLFCk70I6Koo7mV/ogoeqjVwIayXs+xzlZ9ktpttw3H8ePHMXz4COzaVY7aBU6WAWhmuZ9rjfKPP/5gdw171lUDL1K9rvnrSAA6mCcL7gRwFIB6HbA3z+Pw4SNQVLTV4bEUFW1FXt4dABxfJ28XUlA65xdffIUlS95kDSYRkRd86pJx8cUXQ6/XY9++fWjYsCEuvvhi6HQ61fvodDq7/9SJSGsqKysxfPgIGI21k+FycnKxfPkyxMfHq9zTHLyVl5d7nCnufJza/VJSUpCZmY3168cAeNKydTPMk+2szIHtzp2luO66G/DZZ5thDgatx9wOYDaA7yzb+1nOMQaAAcDzAJ6w/Cyo7cAxFsCfAfyhet1afwbwFoAVMBjGIysr168A1Lr0rvNjqa4WGI0j0K9ff3z6ae0Y+va1BvDK40xKSvJ4ztLSUgbNREQe+BQwZ2RkQKfTQa/XO/xMROHjbdDqjmP20RxYFhWNQ17eHVi7drXifZSC7PT0DHzwwX8dgmyl45o3b4mTJ2u76rgPzk8DeBzmThcPw7W1XC5qavLw2WcjLMfbZ1lNMGd9nYNogbnTRhyA+TAHzCPg6DfLcQDwAFwDavP/f927d8euXTsAdAMAZGWZH4c/1DPGenz++W7Yv05ffDEOiYltceLEOFRX147TPnhfs2aNyjnNWWgR8et3iIgo6gWsuKMeYA0zaUkgljiu60IWShPNgDhJTGzrcP3a414Vc4cJ544Ti8RgSJC+ffvZansdx5Rv+b67032ty2H/aLfN/jGorxJoPq/5+6Skzk7ntr81UBwzECddu3YLeG23+9fjBdXXqW9f95P4PL3GnABIRNGGk/7CjAEzaUkgljj2tPy00gQ2TwGYdWU8x+NyBXAOsBPE3AEj1SFgq11Nz37Sn3XVvsfEPHnPeRLen8Xc0cLaKk09wDSfw/x9ZqZzIK90U75u374ZAQ8uldq+6fWxHl8nteDdXSu5xMS2XCabiKJO2Ff627zZeYKMd/r1c/4okIj8Eai6VMcJdso1sPYqKyuRl2c9zvnfdScAsK2MV1te0BHmxULUyiNqywx27RoH82S6BQDuhXnC3nMAUgG8DnMJRAzsSzOAfwC4DY7lFQaYSyp2AvgrzJPdxgJIB/A/AOMAAOvXr3f7/NQaDfMqgVYZAIAtW7aplq7UxfLly5CXdweMxtrH0qdPP0udtvvXyd2Kie7Oec01/RRrv1nbTESkwJfoWqfTiV6vt92cf3Z3ixbMMJNW1CUz7I4vC1nk5OSKXh/nlL2tsGSQHbPExcXFdtlZtfKIx+y2VbhknM0Ll1xh+d55IZEsS5bafls7y9fGTtv1TvdvLNdemy5xcXFOx5lvMTExMm7cOA+ZanPmOxit2ZwzxoFYcMRoNMrUqVOlsLAwoL9DRERaEvaSjI0bNzrcjEajdO/eXZKTk2XWrFny4YcfyocffigvvPCCJCcnS2pqqhQWFgZssOHGgJk88XaxiUBcRy2Q8+X63i6q4XjNDKktgcgU84IeswR4U4C/i14fK337ZrgJsJV6Glu3KZVuxAmgt/UNnjBhguV+s1WON1jG5LzoSG3AbH2MS5cudQmW+/TpI/v27RMR65uEeIdA1XzN3JAGl/4sIqPch9l+VUT/foeIiLQk7AGzs4kTJ0paWppUVVW57Dt16pT06tVLJk2a5M8lNIUBM7kTiAl4vgr0EseeJrA5ZiQrxbyEtPXxWrPCjhnguLgEAXRSu2re2wJsFOBRAWIt260Bm3dvAsyBu16AFh4C8dmK2++77z6Hx7hv3z7p1auXWLPKL774opw/f9725qekpMRlUl3tpMPQB5d1mWjort69toaZy2QTUfTQXMDcpk0bmT9/vtv98+bNkzZt2vhzCU1hwEzuBGICnq9CvWy1a1a7UoDLLcFrgiVoVsr2/lmAjwW4SDGg1utbWgK2N+0CcvUSgczMbKntYOGu1ONNy8/VDtv//OfLRcR91rW8vFzxee3du49l8t2sOgWXofr0Qem6am8s2CWDiKKN5gLmZs2ayZQpU9zunzx5ssTGxvpzCU1hwExKAlkeURfeZBwDFay5ZrWt9cmzVJ8DoI8lmG5qyfw6Zjkds7fKmWH7sVdWVnosKQD+T4D7BBjltN18LndvchISWotO19Il8O/atVudgsv//e9/0qNHr7AFpd7UKody6XMiomDTXMB8/fXXS9OmTeW9995z2ffuu+9KkyZN5IYbbvDnEprCgJmUaHnyVKBLRZSy2rXZXLVsr3M/Y8eShubN4532XyLARx6zuOnpGS71xQZDgjRp0kzMpSDW8z0qQEsxTyCELF682E2w7akdHWy11J6CS6Xn3r73dKjKHsL9hs7T2BioE1GgaS5gPnjwoKSkpIher5cOHTpIRkaGZGRkSMeOHUWv10tycrIcOHAgUGMNOwbM9Ycvf8i1HJC4y6LaLxRSF9aMpNFoFO8yzM2dMrYJAvSzC7SbivLiJnpp0SJBvv32W8VxKAXw7dq1VwjoIcCVAkwVAJKfb10QxTnAf95D4D/a62BXeXEX62TB0P5uBLre3V/hqPknovpDcwGziEhVVZXMnTtXcnJy5LLLLpPLLrtMcnJyZN68efLHH38EYoyawYA5+tX1D7nWAhIRd4G8a9s2fwOV2sdurWF27iah9zgGc51ztrjWQLcUoLHH59FkMsm4ceMkPt45U+16S0xsa9fyzjnAv9tD4J/vVbDr6U2UuTNI6D59CHW9uyfhqPknovpDkwFzfcKAOfrV9Q+51gISEXelIq5t2PwNVBwfu3Of5DSvxmBtHefYMaNAajPX7gPUiooKueyyLh4DZXMWe4Ht8SqvqGcdh3MbOWtLOpOYu3yYs9S+Pff2mepHPQbdwaCFWmUtfyJDRNFBswHz6dOnZcuWLfL+++/LL7/8EohTahID5ugWiD/kWghIrFwfT3ADFetj79kzza6bxEafxmCuW3au+zUH4YsXL1Z8bmt7PceoBMt/EaDc4VolJSWKb3LS0/uL66InjQXo7zI2d2+KPP0u6fVx9TabquWafyKKDsGI1/Tw0/z589GuXTtce+21+Nvf/obdu3cDAI4dO4ZWrVphyZIl/l6CKCRql3J2XvI5AwBQVlbm8RzJyckYPHhwWJcUNplMWLNmDXQ6HXJycmEwjIN5+eOtliPq/vjUrllWVoakpCR88okR2dn9ADwGoD8APYAxXo0BeMhyzDKYl7JeBqA5AD3uu+8B5ObmIiUlBYMGDcHx48dhNBphNBagpuYpAHPcjG4GgCIAlzhc65dffsHatathMplQUFAAk8mEtWtX44MPViEnZ4DTOboAqAbwhcPYioq2Ii/vDpcrpqSkOD33ByxfxwLQIzv7Wixfvszd0xnVHJdjt6e8HDsRkSb4E20vWbJEdDqd5OXlydKlS0Wn08m6dets+2+++WbJzs72O6rXCmaYo1swPyoORTcApfrrzMxsS89i+2xp4B6fu5pvx2WxS8S8MqDnMajvayHmSYHLRK9vqdCObrAAvZy21f3xmkwmWbFihdOiJd6fS6lMp0ePNCkpKfH5eY42Wqz5J6LoobmSjK5du9raxh07dswlYJ45c6a0b9/evxFqCAPmyOZN0BroP+Sh7AagVn9tLZdIT8/w6/E5P4furtmjh7V2+SWFYFmtRthz3a+5jjhVzHXPzhME7VvJOa8wWPfX031XDc9lBFoq09EKLdb8E1H00FzA3LhxY1m0aJGIKAfMixcvlsaNG/s3Qg1hwByZfAlaA/2HPFTdALzNjtf18Smvipdhd03rJD2TAK+I6+S/VAF2W45tJEo1wr17X6P6GICRlq/ueihbj/tErBMJu3W7Unr3vtYlYM/MzPbpNQ3HRLX60KOYbyaIKBg0FzC3bdtWZsyYISLKAfOECRPkwgsv9GuAWsKA+f+zd+9xUdX5/8BfMyOCihcuXtA1b4CVZojkkoIooRCV7a63UNFt01q/GeSj7GKbZWpZurWblSa/ygsra1bbtopg5K3WC5hZm7cBTEu8JeD9Dp/fH2dmmMuZMzMwM2cYXs/HYx7COWfOfM58EN7nM+/P+9M41Sdodccfcvkg65DwRIUEVydSuXp9cu+htGCIVgDxVgFpe5nRX2P9YSGkesuWAfWdd8aK+PhBwnZE+D1DgG1+fuXRXilwrwtmExKSDJMCZwqpnFv9blrc9emDo0CYNYqJiBrG5wLmhx9+WHTr1k1UV1fbBMw//vijaNWqlXjiiSfc0lBfwIC58VGzhJVlEFsprCssxMbe5bYgyNP5147zjo0jyI4WMNGbAttZs2aJXr2irILhvsK4Gp/8I0gAc514DfMA2j3vS0M/fXA2EGaNYiKihvG5gLmiokL85je/EV26dBF//vOfhVarFZMmTRITJkwQQUFBokePHn5VZo4Bc+OjZgkry0DT/fWPrXlqIpXjmsIzRd0IsqNj84V8yoa0ZLR0nhQBWKdRWD/aCdtFUkJE3Si2dUDvvv6v76cPzgTCrFFMRNRwPhcwCyHEqVOnxCOPPCJCQkKERqMRGo1GtGnTRjz88MPi1KlT7mijz2DA3PioHYDU1QiuXxtcyWP11EQqxyPMerOvCx0c+4yQ8pftpWw86SBQNh8xtq7XHCikdI+6mwXLPGv1AlBnfw5Zo5iocWgKcwwaM58MmM2dPn1anDx5UtTU1LjztD6DAXPj5I0SVvZ+eVZVVYnY2DiXgyClcm1yr2P++p6YSCUF/nLLXqdbXIs0gmysYGF+rHEFPeUUCdsls5Ue6UIqWbdCGFNc5G4WGtL/7vqj6GwgrPYNHhEp4xyDxsGnAuZLly6J0NBQ8cYbb7itMb6OAXPj5MkSVs788qxPECT38b1G084i6ExNTRfl5eV2X7+goEDMmTNHbNy4sd7XZwwYi4qKhE5nXdkiXQBVVgHvQiHVS+5gdawxx3mmYuAoPSbaCZCbCeBtYTsqXfc+yt0s1Kf/3f1H0ZWfAdYoJvJdnGPQOPhUwCyEEB06dBDvvvuuu9rSICUlJeLxxx8Xffr0Ea1atRK33HKLGDt2rGwwcuDAAZGamiqCg4NFaGioyMzMdCrXmgFz4+aJkddhw1KEXIm05GTLBXvsBUEJCUk2bXKcAlFX6SEsrKNMYN1GBAS0sGhTWFhHcfjwYaevSy5glK7zFQHcaQiK7Y0gBwpguKhLz1hkdg3OTCA8IoAEs++NKS1Pyz7H0TLTxqB/48aNTve/J/4oOhsIs0YxkW/iJ0CNh88FzNOmTRPDhg0TtbW17mpPvY0ePVp07txZZGdniw8++EDMnz9fdOrUSQQHB4t9+/aZjjt27JgIDw8XUVFR4p133hGvvfaaCA0NFf379xc3btxQfA0GzGRO+uVpXITDPB9XKrfmaJTTeqU6Y1DkeJKdsWzaG3Z+ebcTdTnCW4Q0qhsswsI6Kl6LowVJ6ibVVQnb/OEkAawxBMnGBUYeMfy7QtRVrhBCmuCnlLKRazg+SAAjBbBY1N0omNd7lt6P2Ng42WCyvqPEnvqj6GogzBrFRL6FcwwaD58LmLdu3Sr69OkjkpKSRG5urvjmm2/Et99+a/Pwhh07dtgEvKWlpSIoKEhkZmaatk2bNk20atVKHDt2zLStqKhIaDQakZOTo/gaDJjJ3LJl9hbQkALZefPm2TzHGAQlJCTZHcF0bpKdEMbcXctf3gWGbUtlglqt+PTTTy3a43hBEqXXf90skLUtmwforL5PF8ABAfxR2FbJ6CzqUjeMo7CbBbDSLJi2zm+OUQxg6ztK7Ok/igyEiRonjjA3Hj4XMBurYmg0GqHVam0exu1qGjBggIiLizN937FjRzFu3Dib43r37i2GDx9us90cA2YyVxcwGwMr26BRbgTRmV+6ch/f25ZNkxthnmPYliysy9gBbUWvXtEWbVFekMSVEW7rsnnWS1evEkArsyDafAlrnQCMKSQ/yATeyUJKAbGurNFWtGjRWrZvGvKHzfK55iPa6v5R5Kx8IvVxjkHj4Il4rRka4KOPPmrI073i1KlT6Nu3LwDg+PHjOH36NOLi4myOGzhwIDZs2ODt5lEjo9frUV5ejsjISCQlJRm2bgMwAUAmgJ0AcgEMAbANRUVZyMiYiIKC9aZzlJeXG76qAVAKIMrwvXS+srIy5OXlIiNjIgoLM81ePRDASAC/ANgKnW4B2rXriLNns1BTIwzPv2g4dpOhHRMM308AIFBenokvv/wSw4cPh16vR2Fhvs1xtbXCcC0fA3jK7PW3Gv5tZXjOfAA6AI8DOGfYdheAAgB7zc57AsBaAJfMzhUKYAeAYsPzzxu2/wDgLQD5AGYCmAopbu4tez1XrmSitLQUUVFRMFf3Hg+Bpbr32Po5RtHR0Rg2LAWbNz8C4JrZnkAkJw+3+zxPqaqqwvjxmYa+kqSmpiMvLxchISFebQtRUyf3uzklRfr/SH6uPlH2lStXxD//+U/x2muviWXLlonjx4+7LYJ3p1WrVgmNRiOWL18uhBBi9+7dQqPRiNzcXJtjn3nmGaHVasX169ftno8jzM7xx5Ewe/mwiYlDDdUr7OUTW45KVlZWmqU8WFebsB3BNH58X1JSIvv6hw8fttmu0xmXkrZfiSI1NV2sWbNG8TitNlhYjnBbVumo+9pYESPZ6rqOCimlIsRqu/HRw+K6gUjDscYcaGO7XE+RqBslniks86edGyVOTh5u6FfLKiXWkzm9gbPyiXwPU6t8m0+kZJw6dUr06tXLlHKh0WhEcHCw+PLLL93WKHc4cOCAaNu2rUhISDBNSvz666+FRqMRa9eutTl+9uzZQqvVinPnztk9JwNmZf5cn9Je0JKcPNzqmpWDOvnJdKECiHEqCJL7JX3o0CGRk5MjcnJyhF6vF0VFRYrBO7DIUKFjiOJxtoF9VyGtxve00Gha20xalKpjvC+kiYYQQH87gbL5427Te6TRtBKWecrGdimnVyQkJFn8jMlX+EgWwFKn3mNH6RyFhYVe+0PJnEkiItf5RMA8ffp0odPpxFNPPSXWr18v/v73v4vw8HDRs2dPtzWqoU6ePCl69uwpunfvLk6cOGHazhFmz/LHkbBDhw4pTO6rC1oKC5VXuNPr9Q6DH+vAzxGlGxRpoZEQYbvQSJKQRmwXCgAiMTHJbj5eZWWliI+3XqJaKwCNCA3toFBFQwhgiJAPkM0fvzX8u1AmQNcKy0oa9hZDud3mZ0z+pkSaOOhM/WVHC81484aQs/KJiFznEwFzdHS0ePjhhy22/fOf/xRarVYcPHjQbQ2rr3PnzomYmBgRHh5u056Kigqh0WjEwoULbZ6XmZkpwsPDFc9t7IAhQ4aIBx54wOKxevVqt15HY+MrI2HuSgexP0pZZTdocTQZxH7wI43IOqrSYk3pBkWuhBlgPSKsFR988IFi0G2dliAFxQGKfS2lQFQJoJedQLm9ANaarlujaWl6j5RSUOTaD7wljCkcztyUOPq5SEgYIjSalg6ub5HN++0pvvL/iojIV61evdomJhsyZIj6AXNQUJD44IMPLLYdO3ZMaDQasXXrVrc1rD6uXr0qEhMTRXBwsNi1a5fsMR06dLBbJSMlJUXx/Bxhtk/tkTB3p4Mo1yGWD1rs1dk1LmddNwptzKuVr6phb/lrc/YDKSmX2ri6X91r3ibkqmYkJiYJIWxTPRyXtlMagTVW0VguEyw/ZLh2y+tOTh4u21d17TcufqIX5iPk5o/Y2Lsc5mXb+zm0zS3XCiln23pEO8brgStn5RP5Hn+cq+NPfGKEWaPRiH/84x8W286cOSM0Go346quv3NYwV9XU1IiRI0eK5s2bi4KCArvHKdVhXrZsmeJrMGC2T+2RMHemgzi30p79oMUYfBYXF1sF0Na1h9sL60VP5Ja/rqqqsvnlbHuDYr+knaNcZbm+cbx4iuP3RwowewugueFhnESYbHPdSn0lX2KvnZBypi3P4ehaS0pK7L6GlMJiPN/7wnYFR62Qyt5594aQK/8R+Q5/nqvjT3wmYJ4/f77FwiSbNm0SGo1GLF26VLWFS7Kzs4VGoxEPPvigyM3NtXkY/fLLL6J9+/YiMjJSLF68WLz66qsiNDRUxMTEKOYvC8GA2RG1RsLcHaw7Fyw6zjm2DOKNq9sZA7KFim22Xv7a+pfz2rVrrZ5vXQe5Lgh1ddRVGm01Bp4LRV0dYvP2aYRG01omiLWuovGDAL4QQJmwDOjlr9s4Mm6uuLhYxMbeJRO8vi97jsTEJMONh3UN60DZn0XHN0iPOGy3O24IHY1YcVY+kfr8ca6OP/KZgFlpkRK1Fi4ZOnSobLuMD3P79+8XaWlpIjg4WISGhopJkyaJ06dPO3wNBszK1BoJc3c6iP0AaomwHiW2l0Jhu/iF9fkcBeVzhPliGdZ5s1IAqTUEycol7ZyZkGhOGm1tJ6RRYfMgNcYQFA+y2m58pAugRNSVhTO/fmPQbQw+lUveVVVVyY7k3Hlnf3HrrbcpnuOtt96y6SepbUtlr9fRz49WGyxSU9M9dkPIESuixkHtT1LJeT6xcImvLlayefNmp4+97bbbuEiJB4SEhKCgYD1KS0tRVlaGyMhIryzy0KtXL8NX2yAtnFEOIBLALgBAZGSkS+eLjo5Gamo6iorMFwTZCuBJaDRtIMQ7kBbEyEdhYbbsghKWC2f8aPa1qdVmbZ5gtt24OMhLhkey4fvbAXQFMAE1NQJ79hiL5t8C4BmZ8wPGRTpqampkr0eny0ZKSrpFH9UtZnIbgOMAPoRxERbg/yDFc3usXuf/GY4xnqcjgEUAWgOwXvwjwMF1L0JR0avIyJgIACgqslwI5scfs3D33X0BHLB7juDgYAC1hu8vQfpZiIK04IvtoiWWPz+25xs0aIBpUQJPLFgwfnymzXXKLXhDROpqyIJI5AfcFno3ARxh9l3DhqUI25zTwHovNCFfZcJ6ZCFd2MvFdTzCLIT9UmkxpvNJ59cKy8U3pJHP2Ng4w4jnMw5HPZwd/a8bbbU+3xEB9JF5PyCAB2VfV6qmYUxD2SKkyY7BAmgtpJFx65J36VbPt39NSuXwCgoKDM9dJPtcuVEgudFjrTbENCnSnDtTIzhiRdR48P9r4+ETKRlNGQNm3+WpldmMwVFOTo7hF6XxY3vHvzgtgzBjDrN1cNzMKviMEZal68xLtVlui48fJOpSD6zrFtumCxQUFIisrCwxb948u7/Y6/4gGK+1RkipKMF2gmXj4xWz62pt1q6lwnoyIqAR8ikTxus2zxWXT5NYs2aNzQ3AsGEpIjl5uMz7+YPs+2HOX9KJiMizWLWmcWDArDIGzL7JnXf99iZe2b6G40DHNgizDhK1Ijl5uCgpKRFz5sxRPJ+UF1wXaLdpE2I28WSrAJ4Q1iPsxoCvrKzMZuJgWFhHUVRUZFNKLj8/XwwYYJxgZxwdtw7qrR8BVt+3Mwuwk4VcOTvL90J+JNiZPjUf7VVasMTZANjbE+s4YkXUuLBqTePAgFll/hQw+1INyYa2xR2jdM5MvLIcWdjidKCj1+vFmjVrRGJiksX5ExPrqmw4V/fYOvCWP9a4RLaRFCybV+hYahNcWwfUGo0xnWKVAGYoBMuhVt8/a/jXvE6yUiUQ27QU42iNKyM5jt4/ueobvoIjVkSND6vW+DYGzCrzh4DZl2bku6st7hilc6ZUkNyIsXX5MnuBjjPnlxbOsJfTvFUATwuttq1ZiTXHNwh1+bzKude2udNthDRSbC9Q/o0ANgjL9AkIYIVZ2xwtMZ0vpDSMGNmfAVdGchpzagNHrIiI3IsBs8r8IWD2pRqS7mxLQ0bpXA24lZZvlgt0HJ3fOCIs1Uu2TtuwrcFcXFzsdHttUz0cjWRb11veaAhsHzJrxxQBnLU6zvh4xOz8yu2sey0pqJ0zZ47szY0zIzn+kNrAESsiIvdgwKyyxh4w+1JQ4e62NGSUrqGjk44CHVcWQpG+XiQsFwuR0hvM0wqcvUGwHWGWa8s5YTnqa962OCGNAicLQCfqVuszX6ykr7BdsKSNkEaObScjOlpi3FV1n1Q4nvhIRET+zxPxmhbUZDhTQ7KxtEWv12PDhg0oLS0FUFcDWq/XIz8/H3q9HgUF6xESEuKwLZZ1eM1JdXgd1XGOiorCvffea7f+pqPzS//mYseO/yEsrCN0ulcBVAIIApALne41pKamY/jw4aZn5uXlIiUlHkAmpFrMmUhJibepCZyamoqwsI4AHodU57elWVtqAfzN8PyVhu3GazW2rRTA7wFsAvAepP6qe03gPAA9NJo2hvP/DGAJgMsAfjJ8PcDqOZcBjIRUFzkXOl02UlPT612/tK6Ose1ryb0nRERELnNb6N0EcIRZ/bZ4Kgfb0xOv5M5vb6S1rkqF4+uzN7ptPpHy8OHDVpP6tIaR4mirbXdatU0rLCfvGUel9YaR6K1m+8z7Ua5v9cK4AmDdSHrD+8/25+iQ9arSwwAAIABJREFUAHKEMTWE6Q1ERE0PUzJU1tgDZiF8a0Z+fdriqRxsT0+8kl8IJVlY1lz+QVjnMJtX0nCG0g3Fhx9+aNiWaPM6to9kw78rhHxQbJ2/bJ7i4TjFxV35unXpLj8I23rPWrFmzZoGnZ+IiBofBswq84eA2Zdm5LvaFneMkDsqYVdYWCjmzJnjsAxZfUvh6fV6sWzZMjvXYSyxVv+bAaUbirrXtfcIEMC7htFgYzC80DQqLHdz06dPX8Nxz5pdh/c+yaj7mYgRcvWe5VbqIyIi/8aAWWX+EDAb+dKMfGfb0pDJeY5SOeT2JyTYju66KyXEdnT9DbfcDCido0WLFg4CZghgtqhbqjrGFGzL3dwEBFifr50AvjE8v5mQK5EXFtbRpffJGQkJQxy+d75Ud5yIiDyLAbPK/ClgtsfdgYU7z9eQEWZHqRypqelCq20nrGsCh4V1tLN4ScNSQuRTNOpfqUMIxzcUY8eOVQiUW1p9L786nvHmpl27cGE9Gi59rzM7R4zVOWOcDv5dIZXjs3/ddXWr1f1EhYiIvIMBs8r8OWB292Q6X5qc5yjQLiwsNAvo7H+sX9+AXemmwRiA1rXBcyPMP/74o+jdu7dMsPyEAC4K4yS+efPmKd7kyC+GYp7TPNksgDVOENS7FPy7Qvm6tT5Td5yIiLyDAbPK/DlgdvdkOl+anOdo5LVucQ/lgNXVlBBXbxrcMSHT0Tl27doltFrjhL8OhiDZteDcdjEU+brS3qzGInfdWm1br7eDiIjUx4BZZf4aMLu73Jw3yte5koPt/AizcjDs7HUZR5QTE5Ncumlo6ITM2tpap87Ro0dPIaVOWC7rrdG0cyo4dzzC/KyQqmyENCj4d4XcdcfGKi/N7cvLZRMRUf0xYFaZvwbMDV3pztPncwdHI6/OTBxzdB65EeX63DTUZ0LmDz/8IAYPHiz27duneI66oP99AQyxaqtWlJSUOPV6Ul1n20l9UhAuhFQuz3YS5Zo1azw6smt+3XXXulBYrpzIEWYiIn/GgFll/howN8YRZlc5GnmtqqqSDQKtR0WVzpOcPFwArQUwUwCve+Wm4fr162Lu3LkiICBAABADBw4UN27csHt83c1MsrAMluMt2uVosqbtYigQ0qj1N1bXK+VF3357X9n3zJMqKytl2hgjtFrnRtKJiKhxYsCsMn8NmIVw/4ImnlwgpSGVN5RGb6uqqkRiYpJTgZ31eXbt2iVsFwPRGkZyPXPT8P3334v+/ftbvSbEG2+8Yfc50s2MVkjpEuaTG6WV/YqLi+3eEMi97xs3bhS9ekWJuiob8jdJUj6xdyfeyeXRG0vbsUoGEZH/YsCsMn8OmN29oIknFkjxVOUNa/VJibj99juEbZm1dgIIdPtNw/Xr18WcOXNMo8rWj8DAQHHgwAHZ5zoa/a9boKTuOrTadjYjtdaj81K/aIXcCL203bufNvjipxxEROQdDJhV5s8Bs5G7FzRx5/k8VXmjoRwFZ+4M8K9evSpiY2NlA2XzR2ZmpuzzHeWXy1+HcysQlpSU2NQ8rvveu/nsvphHT0RE3uGJeK0ZiMxERUUhKirK586n1+tRWJgPIBfABMPWCaipESgszERpaalb2+2K8vJyw1dDrPYkmb7KyclBUlJSg9sYGBiIpKQk7NmzR3a/VqvFzJkz8fLLLwOQ3rfy8nJERkYiKioKvXr1Mhy5DXXvIwBsNfva/Dr0APbC3vv+5ZdfYvjw4QCAuLg4fPttMUpLS1FWVobIyEgIIdC7d2+7r1dRUeGRvnN0nZGRkW59PSIi8m9atRtA5AxHQWlZWZnDc+j1emzYsAGlpaVubZtlcGZOCs7i4wdhypQp9QoKrdus1+uRmJiIbt262Rx7++23Y8eOHViwYAEuX76MtLT70Lt3b6SnpyM6Ohppafehffv2SE1Nh06XBSkI/gVALnS6bCQkGAN88+tQft9HjBiBtLT7UF1dbdoTFRWFe++9F1FRUYiOjpZ5vaUApgAApk6damqb+TkaSv51petMTU1X7eaKiIgaKbeNVTcBTSElw1c1JCfVG7nPcpMcGzLBTK7NthUfpIdOpxPPP/+8uHLlikx7bNMo7OWXFxcXi9jYOMMEPeN1vOEg3WSRw7QY29fTCo2mncdTazyRR09ERL6POcwqY8CsrvpW3vBG7rNccJaYmFTv4My2zbZ5xBpNoAgODrapnezszYUxv1yuMoZ5xY+wsI4yNwOhQqqz7NxNy6FDh0ROTo6YO3duvW986svdeflEROTbGDCrjAGz5zhTKq4+I4berpbQ0ODs6tWrYtq0aYY2zxTSYhv2ruEDm2uorKx0eYU7ezcUsbF3Cb1eL/u+S8FyleJ5je2RD8Z/cKptREREruKkP/I7VVVVGD8+0zChT5Kamo68vFyEhIRYHBsSEoKCgvUWk8oc5aI6k/vsrkmJxsl19957b73OUVJSgszMTBw6dMiwZaHh0c/wvfU1SJPtzK9h/PhM7N1rzNG2P+HN2F6dTmd3MuWePZkAgF9//RXZ2dMxbtxo/OlPfwKwCMBTsue1Nn58JoqKdhrOP8TQpscBTALwnVPnICIiUp3bQu8mgCPM7ufpdAlPjzC7Iz/6ypUr4tlnnxVarfXCJ3OEcbENaRU95UVQLK813ZA2YZm+kpw8XGbE1/5odN1odV16hlbbzua8cv3luNzeQofnICIichVTMlTGgNm9vJUu4clVBxsa8O/cuVPcdtttMgEshLR6XplZgBmgeA2WtYerDEGzZU3k+Pi7hVYbLIBFhuMWKvaB3Ap9SouYmHOu5jMn4xERkXsxJYNUZ13XtyG8lS6Rl5eLjIyJKCzMNG1LSZHSPhqiIbWhhRB47rnnsGjRItTW1tp5hcsApgH4wPD9DQD2r8G29vB6AKUAlgFYBI1Gg507dxiOeRrAJkPb/wEpTUJAeu+3QqfLRk2NFrW179pcW2VlJjZu3IgjR45Ao9EgKSnJJn1Gvj1GUvrFxo0bcfPmTbf8LBEREXkSA2Zyiiu5xs7y1uIS9cl9dkZDAn6NRoMLFy4oBMsA0B9SDnPdoiLz5s1DTU0N7r77btOCIUDdjUxCQhJ27MhCTY0x+N0Fne5DtGnTHt9++73V+b8CMA7ASgAxMA/G77zzLuzZU2L32p577gXDfoncz4KxFnJRkXl7pGA8JSXdov1EREQ+zW1j1U1AU07J8FSusSfTJTytoSkl58+fF926dbOTjjFKAOWiroRbjGwaQ3l5ucN6zQkJQ4RUmSLEov+k77WmtIyNGzeaKnwoX5vW6Z8F1kImIiJvYw6zyppqwOzJXOPGHlA1NOAvKiqyCoTvNATI5ttiBNBGAIGy+cRywWtiYpIp+F22bJli/2k0LWXbK3dtUk6z6z8LrIVMRETe4ol4jUtjk0PuWJbaHiFEvZ/rC957bzHatQuAlM5wC4BMtGsXgCVL3nHq+ffcc49ZGbpnAJQAKIPxvZXsBXARwNuQUle6Qson/jsqK0+hpmaWzfavv94qk3oi33/R0d1k87nz8nKRkhJvcW233tpV8VzGnwXrJb3Nl8smIiJqbBgwk0OWucbmGp5rbFmn92cAuSgq2omMjIn1Pqe36PV6jBkzDtXVVyHVJl4BYBHOnr2BadOm4+uvv8bRo0cdnmfevHmGr/oBCAAQAmALpPxl4/5aANb1nY1BdXvZ7cbgNSnJeJx8/7Vv30E2Dz0kJASrV69CYmJd8L5//4+K5woPD0da2n3o3bs30tPTER0djbS0+1BdXW1zfiIiokbDbWPVTUBTTckQwjO5xt5ehc9d5FevM1/5LseQ6qARKSkpora21uE5ld5fx/WMFzl8/+LjBwupnrP58tbtBHCH4nstl7sOBAqNRr4WszeWISciIlLCHGaV+VPA7MxS1OY8kWvsqE6vry6TLB9EhhqC5i0CuMXifVq2bJndcxn7oaSkRPH9tRdQ1+UwK9/IrFmzRkgT/KyD/B/svtcFBQV2AvKlNudKTU0XxcXFjfIGiIiI/AsDZpX5Q8Dc0JXp3DV5q7Ky0lC9oXEFWPZHe3OsgtG6R+vWrcXRo0ctzmOvH0pKSmTfX3s3LIcPH3aqP+vavUgA+QLQ232vHY+gSzc0OTk5Fm1trDdARETkXxgwq8wfAmZf+ci8rh0xQm4JZ3e3x9URdXvkg8JNAuhqN2AGIH7729+K9evXm16/vv1g74bFmRsZZ9NqlEfQ7d/QNNYUGyIi8i8MmFXW2ANmXwloLNthu4RzYmKS28rKKY2o1yeIln8P/6QYLEsPjenrhIQkw9czzUZ6Pd8PzqTVOM6XXqgY2DfmutpEROQfWFaOGsST5eHq344QSEs46yFVmQCef/7Zeq8eaM1eFY6oqNvqVcnBuHqdTpdlOOcvAAYC0Dh4pgbAOgBL8c03Ow3bFgKIBnAfgGp4uh+MKx7q9Xrk5+dDr9ejoGC9xXvt6GcEmImUlHi7y4rLlaJTOp6IiKgxYMDchHiyPFzD2xEF44+ju9pRWFiIwsJ81NTI1y+WSsE5V8rOvK5wXl4u7r67L+qCwj8jNnaAzLMmAPgJUmDdGsAcAF8AaAnzAB7YCWAilPrBuq5xQyjVRHb0M7Jx40abINucM0E5EVFj587fydRIuG2suglo7CkZQvjOR+Z17XhDACscftTvCts0DPlJaNLkN+V0CLmUDuulpxMTk0R5ebkICws32y5f6g0K6Q5abVub62/oJM368JWfESIiX6PG72RyHXOYVeYPAbM3lqJ2JjdYCjAtA8+wsI7i8OHDDX79uoBvoYN8XPP8YflKDqmp6UKrDRHAu4ZjYoRUz9h2iWqgpRNBuv19sbFxNv0gNwFPqw0RiYlJDX6f7Gnsy5UTEXmKr0ycJ2UMmFXmDwGzkbvKw5lz5c7bU790bCetpQvrKhxSwBtjFrAeEsDTNiPMdecKE8B9AjjoIADv6XAUWWmfq1Un4uLu8mgQ64mfESKixspXJs6TY56I15q5Ja+DGp2oqCjZHNaGsJxgNwTANhQVZSEjYyIKCtabjtPr9SgszDccN8GwdQJqagQKCzNRWlpa77bZTlrLhZQfnGk6JiysI6qrj6C2dimAtQA2mfY98cSTyMvLhVarxRNPPGHYWglpYuKtVuc2SjL8exhADIADAJ6AFB8nQcr/nQ4pR1sAmGaxT6fLRkpKus01O5qAt3v3PkRF3YbS0gMeyRH2xM8IEVFj5czEef7O9F+c9EduYQyC5SbYFRbmW0yMcPRLZ8uWLfWeTGE7ac1YhWMhAGnSWmnpAQwfPgjA4wC+hXUFjZSUEejTpw82btxodfYcq3MbbTX7eqXhus7BvFIEcBFALaRA+QKAyXBURcLRBDxgDiorT2HkyN/LvRWNCifQEJGv85WJ86QSt41VNwH+lJLhbq6s8mb/Y60lQm7JZVfTDpyZtCbfhioBJFq8vu2jjeFhee527cKtzqcX0up/j5g9zzL9JDb2Locf4dXlUJunlBgXEanLi26sHwVyAg0RNSacFN04sA4z+SxX7rzlaxnnAngSGk0bWI/4KpV7k+NMLWD5Ue4XAXzt4OznERoaaHPuPXuKERbWEdKodS6AIMPjX5A+yHkP1iPve/aUOHUtgwb1g+VodbzhNepGtr1VQ9vd7NXJdrXPiYi8gbXmmzC3hd5NAEeYlbly5y1XiQFunkyhNGlNfoT5jGEk2HZkWafTiSlTpohDhw7ZPXdVVZUYMGCg1XPvcnrkXcmAAXcJqQrHQquR5phGO8LMCTRE1FhxUrRv4wgz+TRX7rytF7jIyTHmB7tvFUKlBTrkR7k3QKutlTlTXwgRjF9+OY7o6Gi75w4JCcHu3buQkJAErTYYUt70QsPehuW8ffllIcLCWgOYibqR5lug1R5Baqo0YbCx5QH7ysqTRESuUvr7Qv6JATO5TX1WeTP+0hkyxBg0eW8yhVyAP2hQrNkRrSFN9PsBtbXv2ExetOeLL/6F4cOHQApuhwLQQqOZDvP0E50u2xToOiMkJASlpQeQkJBktnUvhg8fhPfeW4y0tPvqtdS3mjiBhoiIGguWlSO3q085MuOIb1FRFmpqHJdcq6/r16+jefPmAOoC/NLSUpSVlSEyMhJlZWVIT98G4EEAb0MKpAHrskF6vR7l5eWIjIy0aZv1edu3b4+//OUlFBbWlbZLSUl3KufN+nW+/nqLRXujoqKQlnafU+X8fI23+pyIiKjB3Jbc0QQwh9mzPLnC3K+//ioyMjLE6NGjFY9zlFdbXFxc7za6kvPmbPWIxp4HzFUFiYjI3bhwCfk1uRFfd4wyfvbZZ5g2bRpOnz4NAFi7di3GjBkje6yjUc8XX3y53qO5roy8O7sITGMvpO+pPiciInIrt4XePuDixYti9uzZIi0tTYSGhgqNRiNWrFghe+yBAwdEamqqCA4OFqGhoSIzM1P8+uuviufnCLNzDh065BOzh0+fPi3GjRtnU/EiPDxcnD592u7z7I16FhcXe2U015VRY0fHJiQkcbSWiIiaFFbJcODMmTOYO3cuDh48iJiYGGg0GtnjKioqkJiYiMOHD2PBggWYOXMm1q9fjxEjRuDmzZtebrX/qKqq8pnJZ2vXrkWfPn2wZs0am31nzpzB9OnT7T7X3uTFM2fOGI7wbFUHV6pH2K9pnQ0gBjt2/I81jYmIiBrIrwLmzp074+TJk/jpp5/wxhtvQAghe9z8+fNx5coVbN68GY8//jiee+45fPzxx9i7dy+WL1/u3Ub7EV9ZhOKtt97C2LFj8euvv9o9ZuPGjfjll18Uz2NdNshbVR1cfZ28vFzcffcdsF3cZJPs0uRERETkGr8KmAMCAtChQweHx3322We4//770aVLF9O2e+65B9HR0fj444892US/pdfrUViYj5qat2G9op23A7bx48cjNDTU7v4HHngA+/btQ9euXV06r73RXFdLxLn7dUJCQjBr1rOG71YA0ANYDyAErGlMRETUcH4VMDvj+PHjOH36NOLi4mz2DRw4EN99950KrWr8fGkRio4dO+Kdd96x2R4SEoLc3Fz8+9//RufOnet1bm8ti+rq69SNSusAmAfUrGlMRETUUE2uSsaJEycAABERETb7IiIiUFVVhRs3biAgIMDbTWvULNMIJpjtUSdge+ihh/Dxxx/j888/BwD87ne/w5IlS9CpU6cGnddbVR1cfR3WNCYiIvKcJhcwX7lyBQAQGBhosy8oKMh0DANm1/hawKbRaLBkyRLs378fc+bMwbhx4+xOAq2P+izO4o7XUVowJS8vFxkZE+u1QEpTpfR+EhERGTW5gLlFixYAgGvXrtnsu3r1qsUx9syYMQNt27a12JaRkYGMjAw3tbJx8kbAJoTA6tWrsXPnTixevFjx2E6dOmH//v3Q6XRue/36cEdQVlVVhfHjM1FYmG/alpoqvbfGpcdZ09h5zryfRETk+/Ly8pCXl2ex7dy5c+5/IbcVqPMxu3fvlq3DXFFRITQajVi4cKHNczIzM0V4eLjdc7IOs3NcWdHOFRUVFeKBBx4w1Ub+/PPP3Xp+d3N2tT5npKamC50u1FBv+WcB5AqdLlSkpqZ7oOX+j+8nEZH/Yh1mN+jcuTPat2+P3bt32+wrLi5GTEyMCq3yL9bl2BpKCIGVK1eiT58++M9//mPa/uc//xlVVVVueQ1PcFeZPV+qQOIP+H4SEZGrmlzADACjRo3CunXrUFFRYdr21VdfQa/XY+zYsSq2jKxVVFTggQcewOTJk3H27FmLfSdPnsSTTz6pUsuUuTMo86UKJP6A7ycREbnK73KY3333XZw9e9YUDH/xxRemBSqysrLQunVrzJo1C5988gmGDh2K7OxsXLhwAYsWLcKdd96JP/7xjyq23r80NHe3qKgIo0ePVsxFWrVqFR588EGMGjWqIU11O2eCMmffE1+rQNLY8f0kIiKXuS25w0d0795daLVa2cfRo0dNx+3fv1+kpaWJ4OBgERoaKiZNmiROnz6teG7mMDvHXbm7x44dE23btrU4j71HfXODPeXQoUOGtuUKQJg9VgkALud31+XcrjLk3K5izm0D8P0kIvJfnojX/C5g9iQGzM5x54SqDz/8UDZA1miaC2CJT0/YcmdQVlVV5bYJhMT3k4jIn3kiXtMIIYRXhrL9wJ49ezBgwAB8++23iI2NVbs5Pkmv16N3796QJrqZf9ydCyATer3epfQMIQTS09NRUFAAAAgPD8eZM2fcdn5Pqq6uNpTZc1/pMpaMc2/tZL6fRET+xxPxmt/lMJO63Jm7C0gLkCxbtgx9+/bFyJEjcf/99+Ohhx5y2/k9yRN1kb21YIov8kTt5Kb8fhIRkfOaZJUM8hzLCVXmbCdUHT16FG+//bbDc3bt2hX79u3DqlWr0L9/f6fP7yvsldnT6/XYsGEDy5g5yV1l+oiIiFzFgJncyrhEtk6XBSmw+QVALnS6bKSmSktkCyGwdOlS9O3bF9nZ2SgsLHR43t/85jdOn18tzgbAVVVVSEu7D71790Z6ejqio6ORlnYfqqurvdTSxoe1k4mISE0MmMnt8vJykZISDyATwC0AMpGSEo+8vFz89NNPSElJwbRp03Dx4kUAwJQpU1xaxlLp/GpwNQDmSKnrWDuZiIjUxICZ3M6Yu6vX65Gfn2/49z/Iy8vDHXfcgU2bNlkcf+zYMcycObNB5y8oWF/vPNaGciUA5khp/biS6kNERORunPRHHmOcUHX06FGkpKRg8+bNdo/NycnBoEGDXFo4RmnCljsrKSgxBsCWVTsmoKZGoLAwE6WlpRav7+5JkU2FMRWnqCgLNTUC0vu1FTpdNlJS1E3FISIi/8cRZvI4IQRKSkocHvfwww83OJfX2/nBzgTA5rnNHCmtP19LxSEioqaDATN5XPfu3fHGG2/Y2asF8Azclcvr7fxgRwHwa6+9bhG8Z2XNQHLycJ+ctOjrfC0Vh4iImg4GzOQ2SlUiHnvsMQwbNkzmWUsBvA535PKqkR+sVLUjLKwjtm//H6yDdwAcKW0Ae2X6iIiIPIUBMzWYM2kQWq0WH3zwAVq1aoVbbrkF8+bNM+xJszpb/aseqFVJQS5V4O67+6Ky8pRs8L5p05dYvPhvPjdSyrrQRERE8hgwU4NlZEzEl19+DUdpED169MC6devwv//9D2PGjDFsdV8ur1r5wXKpArNmPWfYqzy5zxdGSlkXmoiISBmrZFCDFBQUYOPGDYbvOqNuJFW+SsTQoUMBAG3atHFr1YOqqipkZc2AdA/4OADvV1Iwr9ohhDBs3Ya66hmAL07us8z7HgJgG4qKspCRMREFBetVbh0REZH6OMJM9VJTU4O//vWvePDBB822PgLgouFrx2kQ7qx6UBf0LQEwwOKcNTVncePGDa+OmPryioTmWBeaiIjIMQbM5LKDBw8iISEBTz/9NK5fv2625ycAzxu+djyS6q6qB5ZB36MAvgKgB/C04Yg3sHXrty5VynBHPm9jKIPGFfSIiIgcY0oGOa2mpgZvvvkmXnzxRVy7ds3OUe8AaAOdbqnTaRBKC5A4Qz7oiwKQBWARgNsNI6a2KSLWqqqqMH58pmExEklqajry8nJdDuSNNwSlpaUoKyvz+CIq9WGZ9+3bqSNERERq4QgzOe3nn3/GSy+9pBAsG73q1ZFUR5P9gEg4O2LqiTrOvjK5T05jSR0hIiJSEwNmclqPHj3w6quvyu7TaDSYPHkyPvvsM6+XSbMX9AHZANIhjTY7HjEtLi5ukvm8jSF1hIiISE1MySCXPPHEE/jkk0/w3//+17QtMjISH374IRITE1VrV15eLjIyJqKwMNNsawyABTCOmDpKEZk27XHDV8ql4NxNr9ejvLxctZSNxpA6QkREpCaOMJNLdDodPvzwQwQFBUGj0WDGjBn4/vvvVQ2WAcsJhGvWrEFCQhKAvQD6wZkRU71ejz17dhu+804dZ1+rf+zLqSNERERq4ggzWTh9+jQ6dOigeEx0dDSWLl2KyMhIDB482Estc45xAuHYsWNdGjGtmziYDGmyYF0dZ2A6YmPvcnsgyfrHREREjQMDZgIA3LhxAwsWLMD8+fOxadMmDBo0SPH4yZMne6ll9edK9Y26iYPjAARByuc10uL9999za9uMpfCkYNlYncL+gi9ERESkHqZkEL7//nsMHDgQs2fPxrVr1/Dwww/jypUrajfLq+omDj4PIAPSyPLT0GrbIjU1DXFxcW59PdY/JiIiajwYMDdh169fx5w5cxAXF4e9e/eatuv1esyePVvFlqnDslpEEoBFGD58sEeqRTgqhcf6x0RERL6DKRlN1HfffYeHH34Y33//vez+N998E6NGjUJ8fLyXWyZRo3KEN6tFGEe0i4qyUFNTly/tTDUPIiIi8i6OMDdB1dXVSExMtBssG5WUlHipRXV8oXKEt6pFsP4xERFR48CAuQkKCQnBX/7yF7v7+/Tpg507d+KJJ57wYqsknlhpz1eZl8LLz8/3+oIvRERE5BwGzE3U008/bTORTafTYdasWfj2229x1113eb1NxsoRTW2lPdY/JiIi8m0MmJuoZs2a4aOPPkLz5s0BAH379sWuXbswf/58BAYGqtImVo4gIiIiX8RJf01Y3759MXfuXFy8eBEvvPCCaoGykWXliAlme1g5goiIiNTDgLmJe+aZZ9RuggkrRxAREZEvYkoG+RRWjiAiIiJfwxFm8inerIVMRERE5AwGzOSToqKiGCgTERGRT2BKBhERERGRAgbMREREREQKGDATERERESlgwExEREREpIABMxERERGRAlbJICITvV6P8vJylvMjIiIywxFmIkJVVRXS0u5D7969kZ6ejujoaKSl3Yfq6mq1m0ZERKQ6Bszkk/R6PTZs2IDS0lK1m9IkjB+fiaKinQByAfwMIBdFRTuRkTFR5ZYRERGpjwEzqcJeQMyRTu/T6/UoLMxHTc3aja0eAAAbgklEQVTbACYA6ApgAmpq/o7CwnzetBARUZPHgJm8ylFAzJFO7ysvLzd8NcRqTxIAoKyszKvtISIi8jUMmMmrlALipjbS6StpJ7169TJ8tc1qz1YAQGRkpFfbQ0RE5GsYMJPXOAqIt20zBmz+PdLpa2kn0dHRSE1Nh06XBelG5hcAudDpspGams5qGURE1OQxYCavcfTRvxDC8L1/jXRajyT7YtpJXl4uUlLiAWQCuAVAJlJS4pGXl6tam4iIiHwF6zCT11h+9D/BbI8UEA8dOhSpqekoKspCTY2AFEhvhU6XjZSUxjfSWVVVhfHjM1FYmG/alpCQhG++2QopWDa+BxNQUyNQWJiJ0tJSVa4zJCQEBQXrUVpairKyMtZhJiIiMsMRZvIaZz7696eRTrmR5O3bf4D03843006ioqJw7733MlgmIiIywxFm8qq8vFxkZExEYWGmaVtKSropIPaXkU5jvrb1SHJtrYB0M/AxgKfMntG4006IiIj8GQNm8ipnA+KoqKhGGSgbOcrX1mpfRm1tRzT2tBMiIqKmgAEzqaKxB8SOOMrXHjRoAL75Rn6UnYiIiHwLA2YiDzDma9ubwOgPaSdERERNBQNmIg9xlK/t76PsRERE/qLJVsm4fv06nn32WXTp0gUtW7ZEfHw8ioqK1G4W+RFjvrZer0d+fj70ej0KCtYjJCRE7aYRERGRC5rsCPPkyZPx2WefYcaMGYiMjMTy5cuRnp6OLVu2YNCgQWo3j/wIR5KJiIgatyYZMBcXF2PNmjX461//ihkzZgAAMjMz0bdvXzzzzDP45ptvVG4hEREREfmKJpmS8cknn6BZs2aYOnWqaVtgYCAeeeQR7NixAxUVFSq2jojIdkl1IiJST5MMmPfu3Yvo6GgEBwdbbB84cKBpPxGRGqqqqpCWdh969+6N9PR0REdHIy3tPlRXV6vdNCKiJqtJBswnTpxARESEzfaIiAgIIXD8+HEVWkVEJL+kelHRTmRkTFS5ZURETVeTzGG+cuUKAgMDbbYHBQWZ9hMReZu9JdVragQKCzNRWlrKCaRERCpokiPMLVq0wLVr12y2X7161bSfiMjbHC2pXlZW5tX2EBGRpEmOMEdERMimXZw4cQIA0LlzZ8Xnz5gxA23btrXYlpGRgYyMDPc1koiaHEdLqkdGRnq7SUREPi0vLw95eXkW286dO+f212mSAXNMTAy2bNmCixcvWkz827lzJzQaDWJiYhSf/9ZbbyE2NtbTzSSiJsbRkupMxyAisiQ3YLlnzx4MGDDAra/TJFMyRo8ejZs3b2LZsmWmbdevX8fy5csRHx+PLl26qNg6ImrK8vJykZISDyATwC0AMpGSEm9aUp2IiLyvSY4wDxw4EGPGjMHzzz+PU6dOmVb6O3r0KD766CO1m0dEbqTX61FeXo7IyMhGMUJrXFK9tLQUZWVljabdRET+rEkGzACwatUqvPjii8jNzUV1dTX69euH9evXY/DgwWo3jYjcoKqqCuPHZxqqTkhSU9ORl5eLkJAQFVvmHC6pTkTkO5pkSgYANG/eHK+//joqKipw+fJl7Ny5EykpKWo3i4jchPWMiYjIXZrsCDMR+S/WMyYiIndqsiPMROS/WM+YiIjciQEzEfkdy3rG5ljPmIiIXMeAmYj8jrGesU6XBSkt4xcAudDpspGaynrGRETkGgbMROSXWM+YiIjchZP+iMgvsZ4xERG5CwNmIvJrrGdMREQNxZQMIiIiIiIFDJiJiIiIiBQwYCYiIiIiUsCAmYiIiIhIAQNmIiIiIiIFDJiJiIiIiBQwYCYiIiIiUsCAmYiIiIhIAQNmIiIiIiIFDJiJiIiIiBQwYCYiIiIiUsCAmYiIiIhIAQNmIiIiIiIFDJiJiIiIiBQwYCYiIiIiUsCAmYiIiIhIAQNmIiIiIiIFzdRuAPkPvV6P8vJyREZGIioqSu3mEBEREbkFR5ipwaqqqpCWdh969+6N9PR0REdHIy3tPlRXV6vdNCIiIqIGY8BMDTZ+fCaKinYCyAXwM4BcFBXtREbGRJVbRkRERNRwTMmgBtHr9SgszIcULE8wbJ2AmhqBwsJMlJaWMj2DiIiIGjWOMFODlJeXG74aYrUnCQBQVlbm1fYQERERuRsDZmqQXr16Gb7aZrVnKwAgMjLSq+0hIiIicjcGzNQg0dHRSE1Nh06XBSkt4xcAudDpspGams50DCIiImr0GDBTg+Xl5SIlJR5AJoBbAGQiJSUeeXm5KreMiIiIqOE46Y8aLCQkBAUF61FaWoqysjLWYSYiIiK/woCZ3CYqKoqBMhEREfkdpmQQERERESlgwExEREREpIABMxERERGRAgbMREREREQKGDATERERESlgwExEREREpIABMxERERGRAgbMREREREQKGDATERERESlgwExEREREpIABMxERERGRAgbMREREREQKGDATERERESlgwExEREREpIABMxERERGRAgbMREREREQKGDATERERESlgwExEREREpIABMxERERGRAgbMREREREQKGDATERERESnwm4D55MmTeO6555CcnIw2bdpAq9Vi27Ztdo/fvn07EhIS0KpVK0RERCA7OxuXLl3yYouJiIiIqDHwm4D50KFDWLhwIY4fP45+/fpBo9HYPXbv3r1ISUnB1atX8dZbb2Hq1KlYtmwZxo4d68UWExEREVFj4DcBc1xcHCorK3Hw4EHMmDFD8dhZs2YhNDQUW7duxaOPPopXXnkF77zzDgoKClBUVOSlFpO75eXlqd0EsoN949vYP76LfeO72DdNi98EzK1atUK7du0cHnfhwgUUFRUhMzMTrVq1Mm2fNGkSWrVqhY8//tiTzSQP4i8v38W+8W3sH9/FvvFd7JumxW8CZmf973//w82bNzFgwACL7QEBAYiJicF3332nUsuIiIiIyBc1uYD5xIkT0Gg0iIiIsNkXERGB48ePq9AqIiIiIvJVzdRugBwhBK5fv+7UsYGBgS6d+8qVK3afFxQUZNpPRERERAT4aMC8bds2DBs2zOFxGo0GBw4cQHR0tNPnbtGiBQDg2rVrNvuuXr1q2i/HGEwfOHDA6dcj7zl37hz27NmjdjNIBvvGt7F/fBf7xnexb3yXMU5z5yCoTwbMt956K5YvX+7UsXKpFY6OF0LgxIkTNvtOnDiBzp07233ukSNHAAATJ0506TXJe6xz08l3sG98G/vHd7FvfBf7xrcdOXIEgwcPdsu5fDJg7tixIyZNmuSRc/ft2xfNmjXD7t27MXr0aNP2GzduYO/evRg3bpzd56ampiI3Nxfdu3dXHIkmIiIiInVcuXIFR44cQWpqqtvO6ZMBsye1adMGKSkpyM3NxYsvvmgqLbdy5UpcunRJcfGS8PBwTJgwwVtNJSIiIqJ6cNfIspFGCCHcekYVzZs3DxqNBvv27cM///lP/OlPf0KPHj0AAC+88ILpuO+++w6DBw/GbbfdhkcffRS//PIL3nzzTQwdOhT5+flqNZ+IiIiIfJBfBcxarVZ2SWyNRoObN29abNu+fTueffZZ7NmzB61bt8a4cePw6quvWixmQkRERETkVwEzEREREZG7NbmFS4iIiIiIXMGA2YHr16/j2WefRZcuXdCyZUvEx8ejqKhI7WY1OZcuXcJLL72Ee++9F2FhYdBqtVi5cqXssQcPHkRaWhpat26NsLAwTJo0CWfOnPFyi5uO3bt3Y/r06ejbty+Cg4PRrVs3jBs3DqWlpTbHsm+8a//+/Rg7dix69eqFVq1aoX379khKSsK6detsjmXfqG/+/PnQarXo16+fzT72j3dt3boVWq3W5qHT6VBcXGxxLPtGHXv27MHIkSMRFhaGVq1a4Y477sA777xjcYw7+6bJVclw1eTJk/HZZ59hxowZiIyMxPLly5Geno4tW7Zg0KBBajevyThz5gzmzp2Lbt26ISYmBlu2bJE9rqKiAomJiQgJCcGCBQtw4cIFLFy4ED/++COKi4vRrBl/5N3t9ddfx/bt2zFmzBj069cPJ0+exOLFixEbG4tdu3bh9ttvB8C+UcPRo0dx8eJF/PGPf0Tnzp1x+fJlfPrppxg5ciSWLVuGKVOmAGDf+IKKigq89tprCA4Olt3H/lHHk08+ibi4OIttkZGRpq/ZN+rYuHEjRo4cidjYWMyePRvBwcEoLy/HsWPHTMe4vW8E2bVr1y6h0WjEm2++adp29epVERkZKQYPHqxiy5qe69evi1OnTgkhhNi9e7fQaDRixYoVNsdNmzZNtGrVShw7dsy0raioSGg0GpGTk+O19jYlO3bsEDdu3LDYVlpaKoKCgkRmZqZpG/vGN9TW1oqYmBhx2223mbaxb9Q3btw4kZKSIoYOHSruuOMOi33sH+/bsmWL0Gg04tNPP1U8jn3jfefPnxedOnUSo0ePVjzO3X3DgFnBzJkzRUBAgLhw4YLF9tdee01otVqLTiDvUQqYO3bsKMaNG2ezvXfv3mL48OHeaB4ZDBgwQMTFxZm+Z9/4jgceeEBERESYvmffqGvr1q0iICBA/Pjjj7IBM/vH+8wD5gsXLoibN2/KHse+8b4lS5YIrVYrDh06JIQQ4tKlS6K2ttbmOHf3DXOYFezduxfR0dE2H5ENHDjQtJ98x/Hjx3H69Gmbj88Aqc++++47FVrVdJ06dQrh4eEA2Ddqu3z5MiorK3H48GG89dZb2LBhA1JSUgCwb9RWW1uLrKwsTJ06FX369LHZz/5R18MPP4w2bdogKCgIycnJ+Pbbb0372Dfq+Oqrr9CmTRv88ssvuPXWWxEcHIw2bdrg//7v/3Dt2jUAnukbJtcoOHHiBCIiImy2R0REQAiB48ePq9AqsufEiRMAYLfPqqqqcOPGDQQEBHi7aU1Obm4uKioqMG/ePADsG7U99dRTeP/99wFI9epHjRqFxYsXA2DfqG3JkiX4+eefsWnTJtn97B91NG/eHKNHj0Z6ejrCw8Oxf/9+LFq0CEOGDMH27dtx5513sm9UUlpaihs3buDBBx/E1KlTsWDBAmzZsgVvv/02zp07h3/84x8e6RsGzAquXLmCwMBAm+1BQUGm/eQ7jP3hqM/4y8uzDh48iOnTp2Pw4MGYNGkSAPaN2mbMmIExY8bg+PHj+Pjjj1FTU2MaiWHfqKeqqgovvfQSZs+ejdDQUNlj2D/quPvuu3H33Xebvr///vsxatQo9OvXD88//zzy8/PZNyq5ePEirly5gmnTpuGtt94CAPzud7/DtWvXsGzZMrzyyise6RumZCho0aKF6Y+KuatXr5r2k+8w9gf7TD2nTp3Cfffdh5CQEKxdu9a08ib7Rl3R0dFITk7GxIkT8cUXX+DChQsYOXIkAPaNml544QWEhYVh+vTpdo9h//iOXr164cEHH8TmzZshhGDfqMT4nj700EMW28ePHw8hBHbs2OGRvmHArCAiIsI0rG/OuK1z587ebhIpMH70Yq/PQkNDeafvQefPn0daWhrOnz+PgoICdOrUybSPfeNbRo8ejZKSEpSWlrJvVFJWVoacnBxkZWWhoqICR48exZEjR3D16lXcuHEDR48eRXV1NfvHx3Tt2hXXr1/HpUuX2DcqMcZeHTt2tNjeoUMHAPDY/xsGzApiYmKg1+tx8eJFi+07d+6ERqNBTEyMSi0jOZ07d0b79u2xe/dum33FxcXsLw+6du0a7r//fpSVlWH9+vXo3bu3xX72jW8xflx57tw59o1KKioqIIRAVlYWevTogR49eqBnz57YtWsXDh06hJ49e2Lu3LnsHx9TXl6OoKAgBAcHs29UMmDAAADS/yFzxnllHTp08EjfMGBWMHr0aNy8eRPLli0zbbt+/TqWL1+O+Ph4dOnSRcXWkZxRo0Zh3bp1Fv+RvvrqK+j1eowdO1bFlvmv2tpajB07Frt27cInn3xiqiJjjX3jfb/++qvNtps3b2LFihVo0aKFaVEZ9o339e3bF//617/wr3/9C59//rnp0adPH3Tr1g2ff/45HnnkEQDsHzXIrQb3/fff4z//+Q9SU1NN29g33jd27FgIIfDBBx9YbM/JyUFAQACSkpIAuL9vNEII0bCm+7dx48bh888/x5NPPmla6W/37t3YtGkTBg8erHbzmpR3330XZ8+eRUVFBZYuXYo//OEP6N+/PwAgKysLrVu3xrFjxxAbG4u2bdsiOzsbFy5cwKJFi3DLLbeguLiYH495wJNPPom3334bI0eOxJgxY2z2T5gwAQDYNyr4wx/+gPPnz2PIkCHo0qULTp48iX/84x84dOgQ3nzzTWRnZwNg3/iSYcOGobKyEj/88INpG/vH++655x60aNECgwYNQocOHbBv3z7k5OQgMDAQ27dvN32Kxr5Rx5QpU/DRRx9hzJgxSEpKwubNm/Hpp59i1qxZmDt3LgAP9I3LlZubmGvXrolnnnlGdO7cWbRo0UL89re/FV9++aXazWqSunfvLrRarezj6NGjpuP2798v0tLSRHBwsAgNDRWTJk0Sp0+fVrHl/m3o0KF2+0Wr1Vocy77xrjVr1ogRI0aIiIgI0bx5cxEWFiZGjBgh1q1bZ3Ms+8Y3DB06VPTr189mO/vHuxYvXizi4+NFeHi4aN68uejSpYuYPHmyKC8vtzmWfeN9N2/eFK+88oro0aOHCAwMFNHR0eLtt9+2Oc6dfcMRZiIiIiIiBcxhJiIiIiJSwICZiIiIiEgBA2YiIiIiIgUMmImIiIiIFDBgJiIiIiJSwICZiIiIiEgBA2YiIiIiIgUMmImIiIiIFDBgJiIiIiJSwICZiIiIiEgBA2YiIvIpy5cvh1arxc8//6x2U4iIADBgJiLyuBUrVkCr1UKr1WL79u2yx3Tt2hVarRYjR470cut8j0ajgUajUbsZREQmDJiJiLykRYsWWL16tc32rVu3oqKiAkFBQSq0ioiIHGHATETkJenp6Vi7di1qa2sttq9evRpxcXHo1KmTSi1zj8uXL6vdBCIij2DATETkBRqNBhkZGaisrMSXX35p2n7jxg188sknGD9+PIQQFs8RQuBvf/sb+vbtixYtWqBTp07485//jLNnz1oc98UXX+D+++9Hly5dEBQUhMjISMybN88mMC8rK8OoUaMQERGBFi1aoGvXrsjIyMCFCxcAAEePHoVWq8XKlStt2q/VavHKK6+Yvn/55Zeh1Wpx4MABjB8/HqGhoUhMTDTtP3ToEEaPHo2wsDC0aNECd911F/7zn//YnHf//v1ITk5Gy5Yt0bVrV8yfP9+m3UREamumdgOIiJqK7t27Iz4+Hnl5eUhNTQUA5Ofn4/z583jooYfw97//3eL4Rx99FCtXrsSf/vQnZGdn46effsLixYuxd+9e/Pe//4VOpwMgTZJr3bo1nnrqKQQHB2PTpk2YPXs2Lly4gNdffx2AFJiPGDECN27cQFZWFjp16oSKigqsW7cOZ8+eRevWrV26FmOO8ZgxYxAdHY3XXnvNFPDv27cPCQkJ+M1vfoPnn38erVq1wscff4zf/e53+Oyzz/Dggw8CAE6dOoWhQ4eitrYWs2bNQsuWLbFs2TKmphCRz2HATETkRePHj8esWbNw7do1BAYGYvXq1UhKSrJJx/jmm2/wwQcfIC8vD+PGjTNtHzZsGFJTU7F27Vo89NBDAIC8vDwEBgaajnn00UcREhKC9957D/PmzUNAQAD279+PI0eO4NNPP8Xvf/9707F/+ctfGnQ9/fv3x6pVqyy2ZWdno3v37igpKUGzZtKfmWnTpiEhIQHPPvusKWBesGABKisrUVxcjAEDBgAAJk+ejMjIyAa1iYjI3ZiSQUTkRWPHjsXly5exbt06XLx4EevWrcOECRNsjlu7di3atWuHe+65B5WVlaZH//79ERwcjM2bN5uONQ+WL168iMrKSiQkJODy5cs4ePAgAKBt27YAgIKCAly5csUt16LRaPDYY49ZbKuursbmzZsxZswYnDt3zqLtI0aMQGlpKU6cOAEA2LBhA+Lj403BMgCEhYXJvh9ERGriCDMRkReFh4cjJSUFq1evxqVLl1BbW4vRo0fbHFdWVoazZ8+iQ4cONvs0Gg1Onz5t+n7//v144YUXsHnzZpw/f97iuHPnzgGQ0kGeeuopvPnmm8jNzUViYiJGjhyJiRMnok2bNvW+nh49eti0WwiBF198UXb02tj2iIgIHD16FPHx8TbH9O7du97tISLyBAbMREReNn78eEydOhUnTpzAvffeK5s/XFtbi44dO2L16tU2kwEBoH379gCAc+fOYciQIWjXrh3mzZuHnj17IigoCN9++y2ee+45iwl0CxcuxB//+Ef8+9//xsaNG5GVlYXXXnsNu3btQufOne3WPlaahNeiRQvZY59++mlTnrY1plwQUWPDgJmIyMt+//vf47HHHsOuXbuwZs0a2WN69eqFr776CoMGDbJIubC2ZcsWVFdX49///jcGDx5s2l5eXi57fJ8+fdCnTx/MmjULO3fuxKBBg7B06VK88sorCAkJAQCbKhxHjx51+tp69uwJAAgICEBycrLisd26dUNpaanNdmMaCRGRr2AOMxGRl7Vq1QpLly7Fyy+/jAceeED2mLFjx+LmzZsWpdyMampqTKkWOp0OQgiLUeDr16/jvffes3jOhQsXUFNTY7GtT58+0Gq1uHbtGgCgdevWCA8Px7Zt2yyOe/fdd51eea99+/YYOnQo3n//fZw8edJm/5kzZ0xfp6enY+fOndi9e7dp26+//iq7uAsRkZo4wkxE5AXWaRWZmZmKxw8ZMgSPPfYYFixYgL1792LEiBEICAiAXq/HJ598grfffht/+MMfMGjQIISEhGDSpEnIysoCAOTm5toEuJs2bcL06dNNZeBu3ryJlStXolmzZhg1apTpuClTpmDBggWYOnUq4uLisG3bNpSWlsqmhdjz7rvvIjExEXfccQemTp2Knj174tSpU9ixYwcqKirw3XffAQCeeeYZrFq1CqmpqcjOzkbLli2Rk5OD7t2744cffnD69YiIPI0BMxGRFzgzQqvRaCyOW7JkCeLi4vD+++/jhRdeQLNmzdC9e3dMmjTJlH4RGhqK9evX46mnnsKLL76IkJAQZGZmIjk52SKH+M4770RaWhrWrVuHiooKtGzZEnfeeScKCgowcOBA03GzZ8/GmTNn8Mknn2Dt2rVIT0/Hhg0b0KFDB6dHmW+77Tbs3r0bc+bMwYoVK1BZWYkOHTqgf//+eOmll0zHderUCVu2bMETTzyB119/HWFhYZg2bRo6deqEKVOmOPVaRETeoBGuDBsQERERETUxzGEmIiIiIlLAgJmIiIiI6P+3WwcCAAAAAIL8rTeYoCgawgwAAEOYAQBgCDMAAAxhBgCAIcwAADCEGQAAhjADAMAQZgAAGMIMAABDmAEAYAS1gne+ajnOqQAAAABJRU5ErkJggg==",
      "text/plain": [
       "PyPlot.Figure(PyObject <matplotlib.figure.Figure object at 0x321034b50>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lr = LinearRegression()\n",
    "boston = load_boston()\n",
    "y = boston[\"target\"]\n",
    "\n",
    "# cross_val_predict returns an array of the same size as `y` where each entry\n",
    "# is a prediction obtained by cross validated:\n",
    "predicted = cross_val_predict(lr, boston[\"data\"], y, cv=10)\n",
    "\n",
    "scatter(y, predicted)\n",
    "plot([minimum(y), maximum(y)], [minimum(y), maximum(y)], \"k--\", lw=4)\n",
    "xlabel(\"Measured\")\n",
    "ylabel(\"Predicted\");"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Julia 0.4.5",
   "language": "julia",
   "name": "julia-0.4"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "0.4.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
